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Logical Battery Charging For Achieving Optimum Performance In Real Time

Abstract: The present disclosure provides a method and system (100) for optimizing charging of battery in real time. The system (100) includes an AC power supply (102). The AC power supply (102) supply single phase or three phase AC power for charging of a power storage unit (108). The system (100) includes a DC power supply (104). The system (100) includes a power transformation component (106). The system includes a power storage unit (108). The system (100) includes an optimizer (110). The optimizer (110) receives real time inputs from one or more components of the system (100). The optimizer (110) enables required analytic with facilitation of real time feedback inputs. The optimizer (110) optimizes a plurality of battery charging characteristics with respect to time. The system (100) includes a feedback component (112). The system includes a user input module (114). The system includes one or more remote analytics modules (116).

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
29 May 2019
Publication Number
49/2020
Publication Type
INA
Invention Field
ELECTRICAL
Status
Email
Parent Application
Patent Number
Legal Status
Grant Date
2024-03-07
Renewal Date

Applicants

SWASTIKA SYSTEMS PRIVATE LIMITED
Second Floor, SF-06, JMD Regent Plaza, Village Sikandarpur Ghosi, Gurgaon 122002, Haryana, India.

Inventors

1. KUNWER SACHDEV
1625B, Magnolias, DLF Golf Course Road, DLF City phase V, Gurgaon, Haryana, India.
2. KHUSHBOO SACHDEV
1625B, Magnolias, DLF Golf Course Road, DLF City phase V, Gurgaon, Haryana, India.

Specification

The present invention relates to the field of battery charging, and in particular relates to a method and system for logical battery charging for achieving optimum performance in real time.
BACKGROUND [0002] Consistent growth of businesses requires reliable electric power sources. Alternative sources of power have been a main stay for businesses over the last few decades. Some of the alternative sources of power include solar, thermal, wind, water and the like. Energy storage in the alternative power sources sector is a key element for ensuring smooth flow of operations. For many applications, a high degree of reliability is required. Although public power grids are highly reliable, these grids are not perfect. Nor are alternative sources of electric power. Therefore, storage batteries are frequently employed in conjunction with, and as a back-up to, the public power grid and alternative sources of electrical power.
OBJECT OF THE DISCLOSURE [0003] A primary object of the present disclosure is to provide a method and system for logical battery charging for achieving optimum performance in real time.
[0004] Yet another object of the present disclosure is to provide the method and system for controlling charging of batteries in real time.
[0005] Yet another object of the present disclosure is to provide the method and system to enable battery charging according to battery characteristics.
[0006] Yet another object of the present disclosure is to provide the method and system for real time optimization of battery charging to increase battery life.
SUMMARY [0007] In an aspect of the present disclosure provides a method and system for optimizing charging of battery in real time. The system for optimizing charging of battery includes an AC power supply. The AC power supply single phase or three phase AC power for charging of power storage unit. The system includes a DC power supply. The DC power supply suitable DC power for charging of power storage unit. The system includes a power transformation component. The power transformation component converts single phase or three phase AC power into DC power. The power transformation component converts DC power into single phase or three phase AC

power. The power transformation component converts a received DC power to a suitable DC power. The system includes a power storage unit. The power storage unit stores electrical power. The system includes an optimizer. The optimizer receives real time inputs from one or more components of the system. The optimizer enables required analytic with facilitation of real time feedback inputs. The optimizer enables required analytic with facilitation of stored data inside the optimizer. The optimizer enables required analytic with facilitation of inputs received from the one or more remote analytics module. The optimizer enables data analytic to auto correct control method to control and optimize charging of battery. The optimizer monitors a plurality of battery characteristics with respect to time. The optimizer monitors a plurality of battery charging characteristics with respect to time. The optimizer enables limits of rate of change of battery voltage with respect to time and rate of change of battery charging current with respect to time based on control logic with facilitation of a plurality of limiting variables. The system includes a feedback component. The feedback component receives and processes feedback signals from one or more components of the system. The system includes a user input module. The users input module enables one or more users to provide one or more user inputs. The one or more user inputs controls one or more battery charging parameters. The system includes one or more remote analytics modules. The one or more remote analytics modules receive a plurality of sets of data associated with battery and battery charging parameters. The one or more remote analytics modules receive the plurality of sets of data in real time. The one or more remote analytics modules process the plurality of sets of data to enable one or more control parameters. The one or more control parameters facilitates in optimization of charging of battery.
BRIEF DESCRIPTION OF THE FIGURES [0008] FIG. 1 illustrates a block diagram of a system, in accordance with various embodiment of the present invention;
[0009] FIG. 2 illustrates a voltage and current curve during constant current constant voltage (hereinafter CCCV) charging modes in new battery, in accordance with an embodiment of the present disclosure;
[0010] FIG. 3 illustrates a voltage and current curves during CCCV charging modes in new battery and aged batteries without control logic based correction in constant current mode, in accordance with another embodiment of the present disclosure;

[0011] FIG. 4 illustrates a voltage and current curves during CCCV charging modes in new
battery and aged battery with/ without control logic based correction in constant current mode, in
accordance with yet another embodiment of the present disclosure;
[0012] FIG. 5 illustrates a voltage and current curves during CCCV charging modes in aged
battery with/without control logic based correction in constant current mode, in accordance with
yet another embodiment of the present disclosure;
[0013] FIG. 6 illustrates a voltage and current curves during CCCV charging modes in new
battery and multiple old/aged batteries without control logic based correction in constant current
mode and aged battery with control logic based correction, in accordance with yet another
embodiment of the present disclosure;
[0014] FIG. 7 illustrates a voltage and current curve during CCCV charging modes in aged
battery without control logic based correction in constant volatage mode, in accordance with an
embodiment of the present disclosure;
[0015] FIG. 8 illustrates a voltage and current curves during CCCV charging modes in new
battery and aged battery without control logic based correction in constant voltage mode, in
accordance with an embodiment of the present disclosure;
[0016] FIG. 9 illustrates a voltage and current curves during CCCV charging modes in new
battery and aged battery with control logic based correction in constant voltage mode, in
accordance with an embodiment of the present disclosure;
[0017] FIG. 10 illustrates a voltage and current curves during CCCV charging modes in new
battery and multiple aged batteries without control logic based correction and one aged battery
with control logic based correction in constant voltage mode, in accordance with an embodiment
of the present disclosure;
[0018] FIG. 11 illustrates percentage of charge and cumulative Power in a new battery and
aged battery with/without control logic, in accordance with an embodiment of the present
disclosure; and
[0019] FIG. 12 illustrates block diagram of a computing device 1200, in accordance with
various embodiments of the present disclosure.
DETAILED DESCRIPTION [0020] FIG. 1 illustrates a general overview of a system 100 for logical battery charging for achieving optimum performance in real time, in accordance with an embodiment of the present

disclosure. The system 100 performs optimized charging of batteries in real time. The system 100 is configured to enable optimized charging of a plurality of battery. The plurality of battery are characterized by different specifications and operating parameters. The system 100 is designed to charge each of the plurality of battery to an optimum level. The system 100 is designed to charge each of the plurality of battery safely within defined limits. The system 100 enables optimized charging of each of the plurality of battery under a plurality of circumstances. The plurality of circumstances corresponds to different AC power supply, different DC power supply, different phases of available power, various charging state, various charging modes and the like. In an embodiment of the present disclosure, the plurality of circumstances includes any suitable circumstances of the like. The system 100 enables dynamic charging method to optimize charging of the plurality of battery. The system 100 is configured to optimize charging of the plurality of battery dynamically in real time. The system 100 enables monitoring of change in battery parameters and charging parameters to facilitate in dynamically optimizing the charging of battery. The system 100 enables monitoring, controlling and optimizing of charging of battery automatically with change in characteristics of battery. The characteristics of battery changes during uses over a period of time. The characteristics of battery changes during entire life time of battery. In an embodiment of the present disclosure, the characteristics of battery changes due to any suitable reasons of the like. The system 100 monitors, controls and optimizes charging of battery automatically with change in charging parameters in real time. The charging parameters changes due to fluctuations in available charging power. In an embodiment of the present disclosure, the charging parameters changes due to any suitable reason.
[0021] The system 100 for optimizing charging of battery includes an alternating current (hereinafter AC) power source 102, a direct current (hereinafter DC) power source 104, a power transformation component 106 and a power storage unit 108. In addition, the system 100 includes an optimizer 110, a feedback component 112, a user input module 114 and one or more remote analytics module 116. Further, the system 100 for optimizing charging of battery includes a plurality of electrical devices 118. In an embodiment of the present disclosure, the system 100 includes any suitable components of the like. The various elements of the system 100 are connected with one another to optimize charging of the power storage unit 108. The plurality of constituent elements of the system 100 collectively enables optimized, efficient and safe charging of the power storage unit 108. The system 100 includes the AC power supply 102. The AC power

supply 102 provides electrical power to enable charging of the power storage unit 108. The AC power supply 102 corresponds to one or more sources of AC power. The AC power supply 100 generally refers to grid supply for receiving electrical power for charging of the power storage unit 108. In an embodiment of the present disclosure, the AC power supply 102 corresponds to any suitable source of AC power. In an embodiment of the present disclosure, the system 100 includes a transformer to step up or step down the voltage to desired voltage level. In another embodiment of the present disclosure, some filtering of the input power may take place. The AC power supply 102 provides single phase AC power to the system 100 for charging of the power storage unit 108. In an embodiment of the present disclosure, the AC power supply 102 provides three phase AC power to the system 100 for charging of the power storage unit 108. In another embodiment of the present disclosure, the AC power supply 102 provides Ac power in any suitable form to the system 100 for any suitable purpose.
[0022] The system 100 includes the DC power supply 104. The DC power supply 104 provides electrical power to enable charging of the power storage unit 108. The DC power supply 104 corresponds to one or more sources of DC power. The DC power supply 104 is selected from a group. The group includes a solar panel or solar power plant for receiving electrical power for charging of the power storage unit 108. The group includes a wind energy power plant. The group includes a tidal energy power plant. The group includes a plurality of renewable energy sources. In an embodiment of the present disclosure, the group includes any suitable source of DC power. In an embodiment of the present disclosure, the system 100 includes a DC-DC converter for converting voltage received from the DC power supply 104 to desired voltage level. The DC power supply 104 utilizes renewable energy sources to provide electrical power for charging of power storage unit 108. In an embodiment of the present disclosure, the DC power supply 104 converts solar energy into electrical energy. In another embodiment of the present disclosure, the DC power supply 104 converts suitable renewable energy into electrical energy. The DC power supply 104 is a solar power plant. The solar power plant converts solar power into DC electrical power. In an embodiment of the present disclosure, the DC power supply 104 is a solar panel. In another embodiment of the present disclosure, the DC power supply is a wind energy plant. In another embodiment of the present disclosure, the DC power supply 104 is any suitable device for converting solar energy into DC electrical energy. In yet another embodiment of the present disclosure, the DC power supply 104 is any suitable device for providing DC power from

renewable source of energy. In yet another embodiment of the present disclosure, the DC power supply 104 is any suitable device for providing DC power by any suitable manner. The DC power supply 104 enables an alternative for less reliable grid power supply. The DC power supply 104 enables charging of the power storage unit 108 in the absence of AC power supply 102. [0023] The system 100 includes the power transformation component 106. The power transformation component 106 is configured to convert one form of electrical power into another form of electrical power. The power transformation component 106 is configured to convert one form of electrical power with some characteristic parameters to identical form of electrical power with different characteristics parameters. The power transformation component 106 is designed to convert input electrical power to electrical power suitable for charging of power storage unit 108. The power transformation component 106 is designed to convert electrical power stored in the power storage unit 108 to electrical power suitable for supplying electrical load. The power transformation component 106 enables the electrical power stored in the power storage unit 108 to be supplied to the electrical loads. In an embodiment of the present disclosure, the power transformation component 106 is designed for any suitable form of conversion of electrical power. The power transformation component 106 converts single phase AC power to suitable DC power for charging of the power storage unit 108. The power transformation component 106 converts three phase AC power to suitable DC power for charging of the power storage unit 108. The power transformation component 106 converts AC power received from AC power supply 102 to DC power suitable for charging of the power storage unit 108. In an embodiment of the present disclosure, the power transformation component 106 receives AC power from any suitable source of the like. In an embodiment of the present disclosure, the power transformation component 108 includes rectifier for conversion of AC power to DC power. In another embodiment of the present disclosure, the power transformation component 106 enables switched-mode power supply for conversion of AC power to DC power. In yet another embodiment of the present disclosure, the power transformation component 106 includes any suitable component for conversion of AC power to DC power. The power transformation component 106 converts DC power from one voltage level to DC power at another level. The power transformation component 106 converts voltage level of available DC power to make DC power suitable for charging of the power storage unit 108. The power transformation component 106 converts voltage level of DC power received from the DC power supply 104 to another voltage level suitable for charging of the power storage

unit 108. In an embodiment of the present disclosure, the power transformation component 106 receives DC power from any suitable source of the like. In an embodiment of the present disclosure, the power transformation component 106 includes a DC to DC boost or step-up converter. In another embodiment of the present disclosure, the power transformation component 106 includes a DC to DC buck or step down converter. In yet another embodiment of the present disclosure, the power transformation component 106 includes a bi-directional DC to DC converter. In yet another embodiment of the present disclosure, the power transformation component 106 includes a DC to DC chopper circuit converter. In yet another embodiment of the present disclosure, the power transformation component includes any suitable DC to DC converter of the like.
[0024] The power transformation component 106 converts DC power stored in the power storage unit 108 to AC power for supplying to electrical loads in the absence of grid power supply. The power transformation component 106 converts DC power received from DC power supply 104 to AC power for supplying to electrical loads. The power transformation component 106 converts DC power to single phase AC power for supplying to electrical loads. The power transformation component 106 converts DC power to three phase AC power for supplying to electrical loads. In an embodiment of the present disclosure, the power transformation component 106 includes an inverter for conversion of DC power to AC power suitable for electrical loads. In another embodiment of the present disclosure, the power transformation component 106 includes a sine wave inverter for conversion of DC power to AC power suitable for electrical loads. In yet another embodiment of the present disclosure, the power transformation component 106 includes a modified sine wave inverter for conversion of DC power to AC power suitable for electrical loads. In yet another embodiment of the present disclosure, the power transformation component 106 includes any suitable device for conversion of DC power to AC power suitable for electrical loads. The system 100 further includes the power storage unit 108. In general, battery is a device consisting of one or more electrochemical cells for storage of electrical power. In general, battery stores electrical energy in the form of chemical energy. The power storage unit 108 is provided with external connections for electrically connecting the power storage unit 108 to the plurality of electrical devices 118. The power storage unit 108 includes one or more batteries connected with one another in series and/ or parallel. In an embodiment of the present disclosure, the power storage unit 108 is replaced by an electrochemical cell. In another embodiment of the present

disclosure, the power storage unit 108 is replaced with a plurality of electrochemical cells. The power storage unit 108 stores electrical power in presence electrical power supplied by the AC power supply 102. The power storage unit 108 stores electrical power in presence of electrical power supplied by the DC power supply 104. In an embodiment of the present disclosure, the power storage unit 108 stores electrical power in any suitable configuration of the AC power supply 102 and DC power supply 104. The power storage unit 108 operates as a single large battery. The power storage unit 108 stores more electrical energy as compared to individual batteries. The power storage unit 108 enables enhanced storage of electrical power received from the AC power supply 102 and the DC power supply 104. In an embodiment of the present disclosure, the power storage unit 108 includes one or more batteries.
[0025] The power storage unit 108 is characterized by a plurality of battery characteristics. The plurality of battery characteristics are characteristic parameters of the power storage unit 108. The plurality of battery characteristics includes a battery voltage. In the present disclosure, the battery voltage corresponds to nominal voltage of the power storage unit 108. The plurality of battery characteristics includes a rate of change in battery voltage with respect to time. In the present disclosure, the rate of change in battery voltage with respect to time corresponds to magnitude of change in the voltage of power storage unit 108 measured per unit time. The plurality of battery characteristics includes a maximum battery charging limit with respect to capacity of battery. In the present disclosure, the maximum battery charging limit with respect to capacity of battery corresponds to a maximum voltage to which the power storage unit 108 should be charged. The plurality of battery characteristics includes operating temperature. In the present disclosure, the operating temperature corresponds to a temperature range optimum for operation of the power storage unit 108. The plurality of battery characteristics includes internal battery resistance. In the present disclosure, the internal battery resistance corresponds to electrical resistance offered by the power storage unit 108. In an embodiment of the present disclosure, the plurality of battery characteristics includes charging time. In another embodiment of the present disclosure, the plurality of battery characteristics includes battery cycle time. In yet another embodiment of the present disclosure, the plurality of battery characteristics includes any suitable battery characteristics of the like.
[0026] In an embodiment of the present disclosure, the power storage unit 108 includes one or more lead acid batteries. In another embodiment of the present disclosure, the power storage unit

108 includes one or more nickel-metal hydride batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes one or more lithium Ion batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes one or more lithium ion polymer batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes one or more nickel cadmium batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes one or more zinc-carbon batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes one or more mercury batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes one or more alkaline batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes one or more lithium and silver oxide batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes one or more lead-carbon batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes one or more lead-graphite batteries. In yet another embodiment of the present disclosure, the power storage unit 108 includes any suitable battery of the like. In addition, the system 100 includes the optimizer 110. The optimizer 110 enables optimized charging of the power storage unit 108. The optimizer 110 optimizes charging of the power storage unit 108 dynamically in real time. The optimizer 110 monitors change in battery parameters and charging parameters to dynamically optimize the charging of power storage unit 108. The optimizer 110 monitors, controls and optimizes charging of battery automatically with change in the plurality of characteristics of power storage unit 108. The characteristics of power storage unit 108 changes during usage over a period of time. The characteristics of battery changes during entire life time of power storage unit 108. In an embodiment of the present disclosure, the characteristics of battery changes due to any suitable reasons of the like. The optimizer 100 monitors, controls and optimizes charging of power storage unit 108 automatically with change in charging parameters in real time. The charging parameters changes due to fluctuations in available charging power. In an embodiment of the present disclosure, the charging parameters changes due to any suitable reason.
[0027] The optimizer 110 optimizes charging of a plurality of energy storage device. The plurality of energy storage device includes cell. The plurality of energy storage device includes cells. The plurality of energy storage device includes battery. The plurality of energy storage device includes power storage unit. In an embodiment of the present disclosure, the plurality of

energy storage devices includes any suitable energy storage devices. The plurality of energy storage devices is associated with the plurality of electrical devices 118. The optimizer 110 receives a plurality of input from various components of the system 100 in real time. The optimizer 110 stores the plurality of input received from various components of the system 100. The optimizer 110 processes the plurality of inputs received from various components of the system for optimizing charging of the power storage unit 108 in real time. The optimizer 110 processes the plurality of input to enable dynamic charging method for optimizing charging of the power storage unit 108. The optimizer 110 enables required analytics based on real time feedback inputs. The optimizer 110 enables required analytics with facilitation of historically stored data inside the optimizer 110. The optimizer 110 optimizes charging of the power storage unit 110 with facilitation of inputs received from the one or more remote analytic module 116. The optimizer 110 is configured to perform data analytics to auto correct the control logic for optimizing charging of the power storage unit 108. The optimizer 110 is configured to perform data analytics to auto correct method of controlling and optimizing charging of the power storage unit 108. The optimizer 110 resolves a plurality of issues that are not resolved by conventional approach of fixed control based on fixed real time inputs like battery voltage, current and temperature. The optimizer 110 resolves a plurality of issues that are not resolved by conventional approach of fixed charging method based on fixed real time inputs like battery voltage, current and temperature. [0028] The optimizer 110 enables limits of rate of change of battery voltage with respect to time and rate of change of battery charging current with respect to time based on control logic with facilitation of a plurality of limiting variables. The plurality of limiting variables includes battery capacity. The plurality of limiting variables includes rate of charge. The plurality of limiting variables includes one or more parameters of various states of charge. The one or more parameters of various state of charge include boost state voltage and current. The one or more parameters of various state of charge include absorption state. The one or more parameters of various state of charge include voltage and current. The one or more parameters of various state of charge include float state voltage and current. The one or more parameters of various state of charges equalization state. The one or more parameters of various state of charges include analytic state. In an embodiment of the present disclosure, the one or more parameters of various state of charge include any suitable parameters of the like. In another embodiment of the present disclosure, the plurality of limiting variables includes any suitable variables of the like. The optimizer 110

estimates limits of rate of change of battery voltage with respect to time based on control logic. The control logic is decided with facilitation of battery capacity, rate of charge and the like. The optimizer 110 estimates limits of rate of change of battery voltage with respect to time based on other parameters related to various states of charge. The other parameters associated with various state of charge include but is not limited to boost voltage and current, absorption voltage and current, float voltage and current, equalization and analytic state. The optimizer 110 estimates limits of rate of change of charging current with respect to time based on the control logic. The control logic is decided with facilitation of battery capacity, rate of charge and the like. The optimizer 110 estimates limits of rate of change of charging current with respect to time based on other parameters related to various states of charge. The other parameters associated with various state of charge include but is not limited to boost voltage and current, absorption voltage and current, float voltage and current, equalization and analytic state.
[0029] The optimizer 110 enables charging of the power storage unit 108 in a plurality of stages. The plurality of stages includes a first stage, a second stage, a third stage and a fourth plurality of stages. In an embodiment of the present disclosure, the plurality of stages includes any other suitable stages of the like. The first stage of charging corresponds to constant current charging in boost mode. The constant current charging in boost mode accounts for 80 percent of charging of the power storage unit 108. The constant current charging in boost mode refers to constant charging current and voltage increases. The constant current charging in boost mode will charge the power storage unit 108 up to power storage unit capacity of accepting charging in boost mode. The second stage of charge corresponds to constant voltage charging in absorption mode. The constant voltage charging in absorption stage accounts for remaining 19 percent charging of the power storage unit 108. The constant voltage charging refers to constant charging voltage and decreasing the charging current until the power storage unit 108 is fully charged. The third stage of charge corresponds to float charging stage. The float mode charging accounts for remaining 1 percent charging of the power storage unit 108. The optimizer 110 initially enables charging in the first stage. The optimizer 110 starts charging in constant current in boost mode and then enables constant voltage in absorption mode. The optimizer 110 applies a plurality of control logic to decide a boost voltage. The optimizer 110 applies the plurality of control logic to decide the rate of change power storage unit 108 voltages with respect to time. The optimizer 110 applies the plurality of control logic to decide duty cycle to control charging current in constant current

mode by considering one or more user inputs. The one or more user inputs includes but is not limited to power storage unit type, power storage unit model, power storage unit capacity, estimated capacity based on previous charge and/or discharge cycles, rate of charge of power storage unit, temperature of power storage unit, cumulative amp-hour of power storage unit in boost mode and time of charging of power storage unit during boost mode and the like. The optimizer 110 enables battery charging with constant maximum charging current. [0030] The optimizer 110 terminates charging in the first stage for a plurality of first conditions. The plurality of first condition includes no change in battery voltage. The plurality of first condition includes change in battery voltage is less than a minimum level of change in battery voltage. In an embodiment of the present disclosure, the plurality of first conditions includes any suitable conditions of the like. The optimizer 110 monitors the change in battery voltage with respect to time and rate of charge of battery voltage during the first stage. In case voltage of the power storage unit 108 reaches to top limit of boost voltage level, the optimizer 110 switches the charging to the second stage. During second stage charging of power storage unit is carried in constant voltage mode. In case voltage of power storage unit 108 is less than boost voltage level the optimizer 110 continue to charge the power storage unit 108 with constant current mode. In case the optimizer 110 observes no change in voltage of the power storage unit, then the optimizer 110 automatically terminate the charge in the constant current mode and switches to constant voltage mode. Further, in case change in voltage of power storage unit with respect to time is less then estimated limit, then the optimizer 110 automatically terminate the charge in the constant current mode and switched to constant voltage mode. The optimizer 110 switches charging from constant current mode to constant voltage mode by correcting the voltage and current level in constant voltage mode. The optimizer 110 enables control technique based on control logic and dynamical constant current constant voltage method to optimize charging of the power storage unit 110. The optimizer 110 eliminates the overcharging of the power storage unit 108. The optimizer 110 reduces power consumption as compared to conventional charging with constant current constant voltage method with fixed inputs without control logic. The optimizer 110 eliminates the overcharging of the power storage unit 108. The optimizer 110 eliminates overheating of the power storage unit 108. The optimizer 110 increases life span of the power storage unit 108. In an embodiment of the present disclosure, the optimizer 110 reduces the water topping in flooded

lead acid batteries. In another embodiment of the present disclosure, the optimizer 110 maintains temperature of the power storage unit 108 within operating limits of the power storage unit 108. [0031] The optimizer 110 applies the control logic during the constant voltage charging mode to decide the constant absorption voltage of the power storage unit 108. The optimizer 110 applies the control logic during the constant voltage charging mode to decide the rate of change in charging current with respect to time. The optimizer 110 applies the control logic during the constant voltage charging mode to decide the duty cycle to control absorption voltage by considering the plurality of characteristics of the power storage unit 108. The plurality of characteristics of the power storage unit 108 includes type and capacity of battery, rate of charge of battery, temperature of battery, cumulative ampere-hours in both constant current and constant voltage mode and time during absorption mode. In an embodiment of the present disclosure, the plurality of characteristics of the power storage unit 108 includes any suitable characteristics. The optimizer 110 terminates charging in the second stage for a plurality of second conditions. The plurality of second condition includes no change in battery charging current. The plurality of second condition includes change in battery charging current is less than a minimum level of change in battery charging current. In an embodiment of the present disclosure, the plurality of second conditions includes any suitable conditions of the like. The optimizer 110 monitors the rate of change in the charging current with respect to time in constant voltage mode. The optimizer 110 monitors maximum charge limits with respect to capacity of the power storage unit 108 in constant voltage mode. In case charging current reaches below minimum charging current level then the optimizer 110 switches to float mode. In case charging current is above minimum charging current level then the optimizer 110 keeps charging in constant voltage mode.
[0032] The optimizer 110 analyses rate of change of charging current with respect to time to analyze the charging mode. In case change in charging current is less then estimated limit, then the optimizer 110 automatically terminates charging in constant voltage mode and switches to float charging mode. In case the change in charging current with respect to time is less then estimated limit, then the optimizer 110 automatically terminate the charge in constant voltage mode and switches to float charging mode. The optimizer 110 switched from constant voltage charging mode to float charging mode by correcting float voltage and current levels. The switching of charging modes by the optimizer 110 prevents overcharging, overheating of the power storage unit 108. The switching of charging modes by the optimizer 110 reduces the power consumptions and

prolongs the life of the power storage unit 108. In addition, the optimizer 110 charges the power storage unit 108 in the fourth plurality of stages. The fourth plurality of stages includes deep discharge recovery stage. The fourth plurality of stages includes soft start stage. The fourth plurality of stages includes equalization stage. The fourth plurality of stages includes trickle on/off stage. In an embodiment of the present disclosure, the fourth plurality of stages includes any suitable analytical stage during charging cycle. In another embodiment of the present disclosure, the fourth plurality of stages includes any suitable stage of the like.
[0033] The optimizer 110 protects the power storage unit 108 from damage. The optimizer 110 protects the power storage unit 108 from bulging. The optimizer 110 protects the power storage unit 108 from un-serviceability. The optimizer 110 reduces the power consumption by controlling or terminating charging of power storage unit 108. The optimizer 110 enables charging of the power storage unit 108 up to an acceptable charging level. The acceptable charging level corresponds to a charging level up to which the power storage unit 108 is charged safely. The optimizer 110 charges the power storage unit 108 up to an optimum level during entire life time or use period of the power storage unit 108. The optimizer 110 enables condition-based solution. The condition based solution tackles the requirement of a specific power storage unit 108. The optimizer 110 optimizes charging of each power storage unit 108 uniquely and differently. The optimizer 110 eliminates overcharging of power storage unit 108 under all circumstances with facilitation of dynamic charging method and controls logic. The optimizer 110 considerably enhances life span of the power storage unit 108. The optimizer 110 enable power saving. In addition, the system 100 includes the feedback component 112. The feedback component 112 facilitates the optimizer 110 to optimize charging of the power storage unit 108. The feedback component 112 facilitates the optimizer 110 to monitor and control charging of the power storage unit 108. In an embodiment of the present disclosure, the feedback component 112 facilitates the optimizer 110 in any suitable manner of the like. The feedback component 112 receives one or more inputs from a plurality of elements of the system 100. The feedback component 112 receives real time inputs from the plurality of elements of the system 100. The feedback component 112 processes the one or more inputs received from the plurality of elements to condition and control the charging characteristics and charging parameters for the power storage unit 108. In an embodiment of the present disclosure, the feedback component 112 processes the one or more

inputs received from the plurality of elements to facilitate the optimizer 110 in optimizing charging of the power storage unit 108.
[0034] The feedback component 112 receives one or more inputs from the optimizer 110. The feedback component 112 receives the one or more inputs from the optimizer 110 in real time. The feedback component 112 receives one or more inputs from the power storage unit 108. The feedback component 112 receives the one or more inputs from the power storage unit 108 in real time. The feedback component 112 receives one or more inputs from the power transformation component 106. The feedback component 112 receives the one or more inputs from the power transformation component 106 in real time. The feedback component 112 provides real time feedback inputs to enable the optimizer 110 in dynamically optimizing charging of the power storage unit 108. The optimizer 110 receives real time inputs from various sections of the system 100 and do required analytic based on real time feedback inputs from the feedback signal conditioning circuit 112 and historically stored data inside the same optimizer 110. The system 100 includes the user input module 114. The user input module 114 enables the system 100 to receive one or more inputs from one or more users. The user input module 114 is directly associated with the optimizer 110. The user input module 114 provides one or more inputs of the one or more users to the optimizer 110. The one or more users provide inputs with facilitation of the user input module 114 to control charging parameters of the power storage unit 108. The user input module 114 enables the optimizer 110 to monitor and control charging of the power storage unit 108 according to requirement of the one or more user. The user input module 114 enables the optimizer 110 to receive the plurality of battery characteristics from the one or more users. The plurality of battery characteristics includes battery voltage, internal resistance of battery, overcharge tolerance of battery, maximum charging current of battery, operating temperature of battery, and self-discharge rate of battery. In an embodiment of the present disclosure, the plurality of battery characteristics includes any suitable battery characteristic of the like. The system 100 further includes the one or more remote analytics module 116. In general, an analytics module analyses a plurality of characteristic parameters of a system to monitor and optimize output of the system. The one or more remote analytics module 116 is associated with the optimizer 110 with facilitation of a communication network. In an embodiment of the present disclosure, the communication network enables the optimizer 110 to gain access to internet for transmitting data to the one or more remote analytics module 116. The optimizer 110 receives one or more

corrective inputs from the one or more remote analytics module 116 to auto correct control method of optimizing charging of the power storage unit 108. The optimizer 110 receives the one or more corrective inputs from the one or more remote analytics module 116 to optimize the control logic of the optimizer 110. The remote analytics module provides the one or more corrective inputs to the optimizer 110 to control and optimize charging of the power storage unit 108. [0035] Moreover, the communication network provides a medium to transfer the data between the optimizer 110 and the one or more remote analytics module 116. The one or more remote analytics module 116 monitors each operation and task performed by the optimizer 110. In an example, the type of communication network is a wireless mobile network, a wired network with a finite bandwidth, a combination of the wireless and the wired network for the optimum throughput of data transmission, an optical fiber high bandwidth network that enables a high data rate with negligible connection drops and the like. The communication network includes a set of channels. Each channel of the set of channels supports a finite bandwidth. Moreover, the finite bandwidth of each channel of the set of channels is based on capacity of the communication network. The system 100 further includes the plurality of electrical devices 118. The plurality of energy storage devices is associated with the plurality of electrical devices 118. The plurality of electrical devices 118 includes battery charger. The plurality of electrical devices 118 includes electrical vehicle charger. The plurality of electrical devices 118 includes inverters. The plurality of electrical devices 118 includes UPS. The plurality of electrical devices 118 includes solar systems. The plurality of electrical devices 118 includes any suitable renewable energy battery charger. The plurality of electrical devices 118 includes energy storage systems. The plurality of electrical devices 118 includes power backup products. The plurality of electrical devices 118 includes other battery related products/applications. In an embodiment of the present disclosure, the plurality of electrical devices 118 includes aby suitable battery associated electrical devices of the like.
[0036] FIG. 2 illustrates a voltage and current curve 200 during constant current constant voltage (hereinafter CCCV) charging modes in new battery, in accordance with an embodiment of the present disclosure. The voltage and current curve 200 include characteristic current and voltage curve of new battery during charging in constant current constant voltage mode. The voltage and current curves 200 includes characteristics current curve 202 of new battery during charging in constant current constant voltage mode. The voltage and current curves 200 includes

characteristics voltage curve 204 of new battery during charging in constant current constant voltage mode.
[0037] FIG. 3 illustrates a voltage and current curves 300 during CCCV charging modes in new battery and aged batteries without control logic based correction in constant current mode, in accordance with another embodiment of the present disclosure. The voltage and current curves 300 include characteristic current and voltage curve of new battery and old battery during charging in constant current constant voltage mode. The voltage and current curves 300 includes characteristics current curve 302 of new battery during charging in constant current constant voltage mode. The voltage and current curves 300 includes characteristics voltage curve 304 of new battery during charging in constant current constant voltage mode. The voltage and current curves 300 includes characteristics current curve 306 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 300 includes characteristics voltage curve 308 of first aged battery during charging in constant current constant voltage mode.
[0038] FIG. 4 illustrates a voltage and current curves 400 during CCCV charging modes in new battery and aged battery with/ without control logic based correction in constant current mode, in accordance with yet another embodiment of the present disclosure. The voltage and current curve 400 include characteristic current and voltage curve of new battery and old batteries during charging in constant current constant voltage mode. The voltage and current curves 400 includes characteristics current curve 402 of new battery during charging in constant current constant voltage mode. The voltage and current curves 400 includes characteristics voltage curve 404 of new battery during charging in constant current constant voltage mode. The voltage and current curves 400 includes characteristics current curve 406 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 400 includes characteristics voltage curve 408 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 400 includes characteristics current curve 410 of second aged battery during charging in constant current constant voltage mode with control logic correction enabled by the optimizer 110. The voltage and current curves 400 includes characteristics voltage curve 412 of second aged battery during charging in constant current constant voltage mode with control logic correction enabled by the optimizer 110.

[0039] FIG. 5 illustrates a voltage and current curves during CCCV charging modes in aged battery with/without control logic based correction in constant current mode, in accordance with yet another embodiment of the present disclosure. The voltage and current curve 500 include characteristic current and voltage curve of aged batteries during charging in constant current constant voltage mode. The voltage and current curves 500 includes characteristics current curve 502 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 500 includes characteristics voltage curve 504 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 500 includes characteristics current curve 506 of second aged battery during charging in constant current constant voltage mode with control logic correction enabled by the optimizer 110. The voltage and current curves 500 includes characteristics voltage curve 508 of second aged battery during charging in constant current constant voltage mode with control logic correction enabled by the optimizer 110.
[0040] FIG. 6 illustrates voltage and current curves 600 during CCCV charging modes in new battery and multiple old/aged batteries without control logic based correction in constant current mode and aged battery with control logic based correction, in accordance with yet another embodiment of the present disclosure. The voltage and current curves 600 includes characteristics current curve 602 of new battery during charging in constant current constant voltage mode. The voltage and current curves 600 includes characteristics voltage curve 604 of new battery during charging in constant current constant voltage mode. The voltage and current curves 600 includes characteristics current curve 606 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 600 includes characteristics voltage curve 608 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 600 includes characteristics current curve 610 of second aged battery during charging in constant current constant voltage mode. The voltage and current curves 600 includes characteristics voltage curve 612 of second aged battery during charging in constant current constant voltage mode. The voltage and current curves 600 includes characteristics current curve 614 of third aged battery during charging in constant current constant voltage mode with control logic correction enabled by the optimizer 110. The voltage and current curves 600 includes characteristics voltage curve 616 of third aged battery during charging in constant current constant voltage mode with control logic correction enabled by the optimizer 110.

[0041] FIG. 7 illustrates a voltage and current curve 700 during CCCV charging modes in aged battery without control logic based correction in constant volatage mode, in accordance with yet another embodiment of the present disclosure. The voltage and current curve 700 include characteristic current and voltage curve of aged battery during charging in constant current constant voltage mode. The voltage and current curves 700 includes characteristics current curve 702 of aged battery during charging in constant current constant voltage mode. The voltage and current curves 700 includes characteristics voltage curve 704 of aged battery during charging in constant current constant voltage mode.
[0042] FIG. 8 illustrates a voltage and current curves 800 during CCCV charging modes in new battery and aged battery without control logic based correction in constant voltage mode, in accordance with yet another embodiment of the present disclosure. The voltage and current curve 800 include characteristic current and voltage curve of new battery and aged battery during charging in constant current constant voltage mode. The voltage and current curves 800 includes characteristics current curve 802 of new battery during charging in constant current constant voltage mode. The voltage and current curves 800 includes characteristics voltage curve 804 of new battery during charging in constant current constant voltage mode. The voltage and current curves 800 includes characteristics current curve 806 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 800 includes characteristics voltage curve 808 of first aged battery during charging in constant current constant voltage mode.
[0043] FIG. 9 illustrates a voltage and current curves 600 during CCCV charging modes in new battery and aged battery with control logic based correction in constant voltage mode, in accordance with yet another embodiment of the present disclosure. The voltage and current curve 900 include characteristic current and voltage curve of aged battery during charging in constant current constant voltage mode. The voltage and current curves 900 includes characteristics current curve 902 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 900 includes characteristics voltage curve 904 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 900 includes characteristics current curve 906 of second aged battery during charging in constant current constant voltage mode with control logic correction by the optimizer 110. The voltage and current curves 900 includes characteristics voltage curve 908 of second aged battery during

charging in constant current constant voltage mode with control logic correction by the optimizer 110
[0044] FIG. 10 illustrates a voltage and current curves 1000 during CCCV charging modes in new battery and multiple aged batteries without control logic based correction and one aged battery with control logic based correction in constant voltage mode, in accordance with yet another embodiment of the present disclosure. The voltage and current curve 1000 include characteristic current and voltage curve of new battery amd multiple aged batteries during charging in constant current constant voltage mode. FIG. 10 illustrates voltage and current curves 1000 during CCCV charging modes in new battery and multiple old/aged batteries without control logic based correction in constant current mode and one aged battery with control logic based correction. The voltage and current curves 1000 includes characteristics current curve 1002 of new battery during charging in constant current constant voltage mode. The voltage and current curves 1000 includes characteristics voltage curve 1004 of new battery during charging in constant current constant voltage mode. The voltage and current curves 1000 includes characteristics current curve 1006 of first aged battery during charging in constant current constant voltage mode. The voltage and current curves 1000 includes characteristics voltage curve 1008 of first aged battery during charging in constant current constant voltage mode. Further, the voltage and current curves 1000 includes characteristics current curve 1010 of second aged battery during charging in constant current constant voltage mode with control logic correction enabled by the optimizer 110. The voltage and current curves 1000 includes characteristics voltage curve 1012 of second aged battery during charging in constant current constant voltage mode with control logic correction enabled by the optimizer 110. The voltage and current curves 1000 includes characteristics current curve 1014 of third aged battery during charging in constant current constant voltage mode. The voltage and current curves 1000 includes characteristics voltage curve 1016 of third aged battery during charging in constant current constant voltage mode. The voltage and current curves 1000 includes characteristics current curve 1018 of fourth aged battery during charging in constant current constant voltage mode. The voltage and current curves 1000 includes characteristics voltage curve 1020 of fourth aged battery during charging in constant current constant voltage mode. [0045] FIG. 11 illustrates percentage of charge and cumulative power curves 1100 in a new battery and aged battery with/without control logic, in accordance with yet another embodiment of the present disclosure. The percentage of charge and cumulative power curves 1100 includes

characteristic percentage of charge curve and cumulative power curve of new battery and old batteries. The percentage of change and cumulative power curves 1100 shows percentage of charge on primary Y axis 1114 and cumulative Power on secondary Y axis 1116 with respect to time. The percentage of charge and cumulative power curves 1100 includes percentage of charge curve 1108 of new battery. The percentage of charge and cumulative power curves 1100 includes cumulative power curve 1104 of new battery. The percentage of charge and cumulative power curves 1100 includes percentage of charge curve 1106 of aged battery without control logic. The percentage of charge and cumulative power curves 1100 includes cumulative power curve 1102 of aged battery without control logic. The percentage of charge and cumulative power curves 1100 includes percentage of charge curve 1110 of aged battery with control logic. The percentage of charge and cumulative power curves 1100 includes cumulative power curve 1112 of aged battery with control logic. The optimizer 110 reduces power consumption as compared to conventional charging with constant current constant voltage method with fixed inputs and without control logic. The optimizer 110 enables savings in power consumption. The savings in power consumption is visible in Fig. 11 from difference in between power curve 1112 of aged battery with control logic and power curve 1102 of aged battery without control logic. The optimizer 110 is associated with a computing device. In general, computing includes memory, processors and data receiving and transmitting components. In an embodiment of the present disclosure, the computing device includes any other suitable device of the like. The memory of computing device enables the optimizer 110 to store data and instructions. The optimizer 110 takes real time inputs from various sections of the system and do required analytic based on real time feedback inputs and historically stored data inside the optimizer 110 for data analytic to auto correct control logic and method to optimize charging of the power storage unit 108. The processor of the computing device enables the optimizer 110 to processes the plurality of sets of data and enable optimization of charging of power storage unit 108 in real time. The processor of the computing device enable the optimizer 110 to execute instructions stored in memory of the optimizer 110. In an embodiment of the present disclosure, the optimizer 110 is directly associated with the computing device. In another embodiment of the present disclosure, the computing device is embedded inside the optimizer 110. In yet another embodiment of the present disclosure, the computing device is associated with the optimizer 110 with facilitation of a suitable connecting medium. In yet another

embodiment of the present disclosure, the computing device is associated with the optimizer 110 with any other suitable manner of the like.

WE CLAIMS

1. A system (100) for optimizing charging of battery in real time, the system (100) for optimizing charging of battery comprising:
an AC power supply (102), wherein the AC power supply (102) supplies single phase or three phase AC power;
a DC power supply (104), wherein the DC power supply (104) supplies DC power;
a power transformation component (106), wherein the power transformation component (106) converts single phase or three phase AC power into DC power, wherein the power transformation component (106) converts DC power into single phase or three phase AC power, wherein the power transformation component (106) converts a received DC power to a suitable DC power;
a power storage unit (108), wherein the power storage unit (108) stores electrical power;
an optimizer (110), wherein the optimizer (110) receives real time inputs from one or more components of the system (100), wherein the optimizer (110) enables required analytics with facilitation of real time feedback inputs, wherein the optimizer (110) enables required analytics with facilitation of stored data inside the optimizer (110), wherein the optimizer (110) enables required analytics with facilitation of inputs received from the one or more remote analytics module, wherein the optimizer (110) enables data analytics to auto correct control method to control and optimize charging of battery, wherein the optimizer (110) monitors a plurality of battery characteristics with respect to time, wherein the optimizer (110) monitors a plurality of battery charging characteristics with respect to time, wherein the optimizer (110) enables limits of rate of change of battery voltage with respect to time and rate of change of battery charging current with respect to time based on control logic with facilitation of a plurality of limiting variables;
a feedback component (112), wherein the feedback component (112) receives and processes feedback signals from one or more components of the system (100);

a user input module (114); wherein the user input module (114) enables one or more users to provide one or more user inputs, wherein the one or more user inputs controls one or more battery charging parameters; and
one or more remote analytics modules (116), wherein the one or more remote analytics modules (116) receives a plurality of sets of data associated with battery and battery charging parameters, wherein the one or more remote analytics modules (116) receives the plurality of sets of data in real time, wherein the one or more remote analytics modules (116) processes the plurality of sets of data to enable one or more control parameters, wherein the one or more control parameters facilitates in optimization of charging of battery.
2. The system (100) for optimizing charging of battery as recited in claim 1, wherein the optimizer (110) enables charging of the power storage unit (108) in a plurality of stage, wherein the plurality of stage comprising a first stage, a second stage, a third stage and a fourth plurality of stages, wherein the first stage being constant current charging in boost mode, wherein the second stage being constant voltage charging in absorption mode, wherein the third stage being float charging stage and wherein the fourth plurality of stages includes deep discharge recovery stage, soft start stage, equalization stage, trickle on/off stage.
3. The system (100) for optimizing charging of battery as recited in claim 1, wherein the plurality of battery characteristics include battery voltage, rate of change in battery voltage with respect to time and maximum charging limit with respect to capacity of battery.
4. The system (100) for optimizing charging of battery as recited in claim 1, wherein the plurality of battery charging characteristic includes rate of charging of battery, charging current and rate of change in charging current.
5. The system (100) for optimizing charging of battery as recited in claim 1, wherein the optimizer (110) terminates charging in a first stage for a plurality of first conditions, wherein the plurality of first condition include no change in battery voltage, wherein the plurality of first condition includes change in battery voltage is less than a minimum level of change in battery voltage.
6. The system (100) for optimizing charging of battery as recited in claim 1, wherein the optimizer (110) terminates charging in second stage for a plurality of second conditions, wherein the plurality of second condition include no change in battery charging current, wherein the

plurality of second condition includes change in battery charging current is less than a minimum level of change battery charging current.
7. The system (100) for optimizing charging of battery as recited in claim 1, wherein the plurality of limiting variables includes battery capacity, rate of charge, one or more parameters of various states of charge, wherein the one or more parameters of various state of charges includes boost state voltage and current, absorption state voltage and current, float state voltage and current, equalization state and analytic state.
8. The system (100) for optimizing charging of battery as recited in claim 1, wherein the DC power supply (104) being selected from a group, wherein the group includes a solar power plant, a wind energy power plant, a tidal energy power plant and a plurality of renewable energy sources.
9. The system (100) for optimizing charging of battery as recited in claim 1, wherein the system (100) further includes a plurality of electrical devices (118), wherein the plurality of electrical devices (118) comprising electrical vehicle, inverters, UPS, solar systems, energy storage systems, power backup products, other battery related products/applications.
10. The system (100) for optimizing charging of battery as recited in claim 1, wherein the optimizer (110) optimizes charging of a plurality of energy storage device, wherein the plurality of energy storage device comprising cell, cells, battery, power storage unit, wherein the plurality of energy storage devices being associated with a plurality of electrical devices (118).

Documents

Application Documents

# Name Date
1 201911021337-IntimationOfGrant07-03-2024.pdf 2024-03-07
1 201911021337-STATEMENT OF UNDERTAKING (FORM 3) [29-05-2019(online)].pdf 2019-05-29
2 201911021337-FORM 1 [29-05-2019(online)].pdf 2019-05-29
2 201911021337-PatentCertificate07-03-2024.pdf 2024-03-07
3 201911021337-FIGURE OF ABSTRACT [29-05-2019(online)].jpg 2019-05-29
3 201911021337-Correspondence-190922.pdf 2022-09-23
4 201911021337-Others-190922.pdf 2022-09-23
4 201911021337-DRAWINGS [29-05-2019(online)].pdf 2019-05-29
5 201911021337-DECLARATION OF INVENTORSHIP (FORM 5) [29-05-2019(online)].pdf 2019-05-29
5 201911021337-CLAIMS [16-09-2022(online)].pdf 2022-09-16
6 201911021337-DRAWING [16-09-2022(online)].pdf 2022-09-16
6 201911021337-COMPLETE SPECIFICATION [29-05-2019(online)].pdf 2019-05-29
7 abstract.jpg 2019-07-10
7 201911021337-FER_SER_REPLY [16-09-2022(online)].pdf 2022-09-16
8 201911021337-OTHERS [16-09-2022(online)].pdf 2022-09-16
8 201911021337-FORM 18 [21-09-2021(online)].pdf 2021-09-21
9 201911021337-FER.pdf 2022-03-17
9 201911021337-PETITION UNDER RULE 137 [16-09-2022(online)]-1.pdf 2022-09-16
10 201911021337-PETITION UNDER RULE 137 [16-09-2022(online)].pdf 2022-09-16
10 201911021337-RELEVANT DOCUMENTS [25-05-2022(online)].pdf 2022-05-25
11 201911021337-POA [25-05-2022(online)].pdf 2022-05-25
11 201911021337-Proof of Right [16-09-2022(online)].pdf 2022-09-16
12 201911021337-Correspondence-030622.pdf 2022-06-11
12 201911021337-FORM FOR STARTUP [25-05-2022(online)].pdf 2022-05-25
13 201911021337-FORM 13 [25-05-2022(online)].pdf 2022-05-25
13 201911021337-GPA-030622.pdf 2022-06-11
14 201911021337-AMENDED DOCUMENTS [25-05-2022(online)]-1.pdf 2022-05-25
14 201911021337-FORM 13 [25-05-2022(online)]-1.pdf 2022-05-25
15 201911021337-AMENDED DOCUMENTS [25-05-2022(online)].pdf 2022-05-25
15 201911021337-EVIDENCE FOR REGISTRATION UNDER SSI [25-05-2022(online)].pdf 2022-05-25
16 201911021337-AMENDED DOCUMENTS [25-05-2022(online)].pdf 2022-05-25
16 201911021337-EVIDENCE FOR REGISTRATION UNDER SSI [25-05-2022(online)].pdf 2022-05-25
17 201911021337-FORM 13 [25-05-2022(online)]-1.pdf 2022-05-25
17 201911021337-AMENDED DOCUMENTS [25-05-2022(online)]-1.pdf 2022-05-25
18 201911021337-FORM 13 [25-05-2022(online)].pdf 2022-05-25
18 201911021337-GPA-030622.pdf 2022-06-11
19 201911021337-Correspondence-030622.pdf 2022-06-11
19 201911021337-FORM FOR STARTUP [25-05-2022(online)].pdf 2022-05-25
20 201911021337-POA [25-05-2022(online)].pdf 2022-05-25
20 201911021337-Proof of Right [16-09-2022(online)].pdf 2022-09-16
21 201911021337-PETITION UNDER RULE 137 [16-09-2022(online)].pdf 2022-09-16
21 201911021337-RELEVANT DOCUMENTS [25-05-2022(online)].pdf 2022-05-25
22 201911021337-FER.pdf 2022-03-17
22 201911021337-PETITION UNDER RULE 137 [16-09-2022(online)]-1.pdf 2022-09-16
23 201911021337-FORM 18 [21-09-2021(online)].pdf 2021-09-21
23 201911021337-OTHERS [16-09-2022(online)].pdf 2022-09-16
24 abstract.jpg 2019-07-10
24 201911021337-FER_SER_REPLY [16-09-2022(online)].pdf 2022-09-16
25 201911021337-DRAWING [16-09-2022(online)].pdf 2022-09-16
25 201911021337-COMPLETE SPECIFICATION [29-05-2019(online)].pdf 2019-05-29
26 201911021337-DECLARATION OF INVENTORSHIP (FORM 5) [29-05-2019(online)].pdf 2019-05-29
26 201911021337-CLAIMS [16-09-2022(online)].pdf 2022-09-16
27 201911021337-Others-190922.pdf 2022-09-23
27 201911021337-DRAWINGS [29-05-2019(online)].pdf 2019-05-29
28 201911021337-FIGURE OF ABSTRACT [29-05-2019(online)].jpg 2019-05-29
28 201911021337-Correspondence-190922.pdf 2022-09-23
29 201911021337-PatentCertificate07-03-2024.pdf 2024-03-07
29 201911021337-FORM 1 [29-05-2019(online)].pdf 2019-05-29
30 201911021337-STATEMENT OF UNDERTAKING (FORM 3) [29-05-2019(online)].pdf 2019-05-29
30 201911021337-IntimationOfGrant07-03-2024.pdf 2024-03-07

Search Strategy

1 SearchStrategy_201911021337E_17-03-2022.pdf

ERegister / Renewals