The present invention in general relates to the hand held comparison/ test device for batteries. The present invention in particular relates to an IoT based system for testing batteries for electric vehicle.
BACKGROUND AND PRIOR ART:
[002] Vehicles, both automotive and electric, typically include a storage battery. For example, automotive vehicles powered by internal combustion engines typically include a battery for starting. The battery is also used to power the electrical system when the engine is not running. Additionally, the vehicle alternator powered by the engine is used to charge the battery and to power electrical components of the vehicle when the engine is running. While there are many devices used to measure vehicle batteries, most do not do so while the battery is in continuous service or without interfering with the function of the vehicle.
[003] Reference may be made to the following:
[004] Indian application no 946/DEL/2014 relates a hand held test/ comparison device for comparing multiple industrial/ household devices such as inverter/UPS. The device calculates the energy saved in charging as well as backup mode and generates the report and sends to user at remote location through Email, SMS, phone call or any other kind of alert. The saved energy and cost is showed in the term of daily, weekly, monthly or yearly basis and after how much time the inverter will become free of cost (zero investment). The device also calculates and shows the difference in total harmonic distortion when load/appliances are connected at the output of power sources like inverter/UPS. It calculates the extra Ah/energy of battery delivered using energy efficient products and shows battery charging current with waveforms.
[005] US20090037145A1 relates to a battery life predicting device and a battery life predicting method capable of accurately predict the lifetime of storage batteries. The expected lifetime value selecting unit 7 selects, as an expected lifetime value, a lifetime value that corresponds to the load power applied by the storage battery during discharge and the ambient temperature of the location where the storage battery 3 is installed while referring to the lifetime data stored in the lifetime data storing unit 5, the first diminution in lifetime calculating unit 12 a calculates the first diminution in lifetime based on a natural logarithm function that takes the time obtained by converting the number of discharge cycles of the storage battery 3 as a variable, the second diminution in lifetime calculating unit 12 b calculates the second diminution in lifetime from the mean value of the storage battery temperatures during charging, discharging or an idle state, the ambient temperature and the time elapsed after the installation of the storage battery 3, and the remaining lifetime value calculating unit 12 c calculates the remaining lifetime value by subtracting the first diminution in lifetime and the second diminution in lifetime from the expected lifetime value.
[006] US7619417B2 relates to a battery monitoring system (BMS), which utilizes a minimum amount of input data (time, voltage, current, temperature and conductance, for example) to periodically determine a vehicle battery status or condition is provided. The BMS combines electronic hardware and software to give logical and critical data to assess and control a battery-based electrical system. The BMS can include processing circuitry (a microprocessor, for example), which is coupled to a voltage sensor, a current sensor, a temperature sensor, etc., that provide the necessary input data for the microprocessor, which executes program code, to determine the vehicle battery status or condition.
[007] US20080091363 relates to a battery management system (BMS) and a driving method thereof having advantages of resetting a battery estimate State of Charge (SOC) by compensating for reset estimate errors in the SOC reset condition corresponding to an overcharge and over-discharge threshold ranges.
[008] Review on the State of Charge Estimation Methods for Electric Vehicle Battery Mingyue Zhang * and Xiaobin Fan School of Mechanical and Power Engineering, Henan Polytechnic University, 2001 Century Avenue, Jiaozuo 454003, China; fanxiaobin@hpu.edu.cn * Correspondence: 15738515780@163.com Received: 9 January 2020; Accepted: 10 March 2020; Published: 11 March 2020 MDPI Jounral talks about accurately estimating the state of charge is a challenging task. This paper reviews various representative patents and papers related to the state of charge estimation methods for an electric vehicle battery. According to their theoretical and experimental characteristics, the estimation methods were classified into three groups: the traditional methods based on the battery experiments, the modern methods based on control theory, and other methods based on the innovative ideas, especially focusing on the algorithms based on control theory. The results imply that the algorithms based on control theory, especially intelligent algorithms, are the focus of research in this field. The future development direction is to establish a rich database, improve hardware technology, come up with a much better battery model, and give full play to the advantages of each algorithm.
[009] Patent No. 5,587,918 provides a circuit pattern comparison apparatus of the present invention comprises a search pattern editing unit for extracting portions matched to the designated search patterns from a target object represented as a circuit network including a set of nodes and node-to-node arcs or links and for schematically describing the search pattern and a search code synthesizing unit for synthesizing a search code by a code-converting the search pattern schematically described by the search pattern editing unit. The apparatus further comprises a comparing unit for receiving the search code synthesized by the search code synthesizing unit and for comparing the search patterns with the target object and extracting portions matched to the search patterns represented as the search code.
[010] US Publication No. 2013138365 relates to a system includes an uninterruptible power supply (UPS), one or more power supplies, and a processing device. The processing device to execute instructions which cause the processing device to determine a total output current of the one or more power supplies, enable the UPS, determine an output current of at least the UPS, determine a current sharing percentage for at least the UPS, and compare the current sharing percentage for the UPS with an expected current sharing percentage range.
[011] US Patent No. 6630751 is directed to an uninterruptible power supply for providing AC power to a load having a capacitive element. In embodiments of the present invention the uninterruptible power supply includes an input to receive AC power from an AC power source, an output that provides AC power, a DC voltage source that provides DC power, the DC voltage source having an energy storage device, an inverter operatively coupled to the DC voltage source to receive DC power and to provide AC power, the inverter including:; first and second output nodes to provide AC power to the load having the first capacitive element, first and second input nodes to receive DC power from the DC voltage source, a circuit operatively coupled to the first output node of the inverter, the circuit being configured to compare a value representative of load capacitance of the first capacitive element with a reference value to determine excessive load capacitance, a set of switches operatively coupled between the first and second output nodes and the first and second input nodes and controlled to generate AC power from the DC power, and a transfer switch constructed and arranged to select one of the AC power source and the DC voltage source as an output power source for the uninterruptible power supply.
[012] Publication No. JPS618682 relates to the battery check without requiring any special component by comparing data in specific addresses of a memory which is backed up by the backup power source with code data stored in a fixed memory.
[013] US Patent No. 4,814,643 relates to the comparison circuit includes a differential amplifier having first and second input circuits each of which is formed of darlington-connected transistors and which are connected to receive first and second input signals. The comparison circuit further includes an operation mode control circuit for selectively short-circuiting the base-emitter path of each of the first stage bipolar transistors in the first and second input circuits, in response to the first and second input signals.
[014] US publication no. 2005229037 relates to the methods and apparatuses that automatically determine the capabilities of UPS devices. Systems automatically determine whether a UPS device is capable of protecting system resources by comparing the UPS capabilities against system requirements. Such systems can use that determination to approximate how long a UPS device can reliably supply power. Systems having multiple UPS devices can be implemented such that the connections of the UPS devices to system resources are automatically determined, the load on each UPS device can be found, the capabilities of the UPS devices can be obtained, a comparison between UPS load and UPS capabilities can made, and a warning of problems can be sent. Using UPS capability and load information a system can provide for a controlled shutdown of system resources.
[015] Publication No. 20100070434 relates to an appliance includes a display unit for an appliance and a control unit coupled to the display unit. The control unit is configured to detect at least one operating parameter associated with use of the appliance, calculate energy usage and energy costs associated with the at least one operating parameter, and present current energy usage and cost information on the display unit.
[016] Publication No. WO2009097400 relates to the systems and methods for monitoring and controlling the power consumption of a power-consuming device. The system and method may connect to a power source and a power-consuming device, connecting the power-consuming device to the power source. The power usage of the power-consuming device may then be measured and monitored. This monitoring data may then be stored and optionally sent to a controlling device on a data network. The location of the power-consuming device may also be determined, recorded, and sent to a controlling device. The system may also control the power usage of the power-consuming device. In some cases, a remote server may connect multiple energy monitoring systems in order to gain additional efficiencies and foster a community-based social network.
[017] Publication No. 20120323385 relates to the devices, systems, and methods for providing energy management recommendations are provided. One method includes recording a number of interactions between a user and a computing device, creating an energy usage profile according to the number of interactions between the user and the computing device, computing energy usage analytics associated with the energy usage profile, presenting the energy usage analytics to the user, and providing a number of energy management recommendations that account for the usage analytics and the energy usage profile.
[018] Publication No. 20120080949 relates to a power monitoring system to monitor electrical power supply to electrical equipments. The monitor includes an energy saving device to reduce unnecessary power consumption. A control means for enabling control of power consumption of electrical devices in response to the data output of the monitored power consumption
[019] Publication No. 20100214578 relates to a method and system for determining appliance economics and environmental impacts of appliances comprising the steps of electronically reading an appliance identifier of an appliance using a portable, hand-held communication device, inputting an installation location of the appliance into the communication device, transmitting the appliance identifier and the installation location of the appliance to a data processing center containing current energy cost data and externalities data for the installation location, and transmitting at least one of said appliance economics and said appliance environmental impact for the appliance to the communication device.
[020] Publication No. 20100262566 relates to the electric energy calculation device, price calculation device and price calculation method for calculating price for consumed electric power, and vehicle information output device and vehicle information output method.
[021] Publication No. CA2747459 relates to a sub-meter device (704) for use in a home energy management (HEM) network (700). The sub-meter device measure power characteristics related to usage of an appliance (702) (or other device) within a HEM network and provides such data to a home energy controller (706) or the like. The sub-meter device can include one or more sensors (724), such as a current transformer, Rogowski coil, shunt resistor, or hall effect sensor, for collecting data relating to at least one of real power consumption, reactive power consumption, line frequency, line voltage, power factor, leading/lagging voltage-current comparison, and apparent power, etc.
[022] Publication No. WO2010085816 relates to the devices and methods for identifying an electrical device, and its state, in a network of electrical devices are disclosed. An energy monitoring device is programmed to identify an electrical device coupled to a power supply, and a state of the electrical device, from a change in successive measurements of the power supply. Algorithms for determining a load signature for an electrical device and its state are disclosed. A stored table of load signatures for states is used to identify devices, and states. Energy monitoring information is collected and presented to the user on a display, a remote display, or is transmitted over a network to a remote device such as a personal computer, personal digital assistant, an iPhone, a cell phone, voice mail, email, or text message.
[023] Publication No. WO2011091444 relates to the devices and methods for identifying an electrical device, and its state, in a network of electrical devices are disclosed. An energy monitoring device is programmed to identify an electrical device coupled to a power supply, and a state of the electrical device, from a change in successive measurements of the power supply. Algorithms for determining a load signature for an electrical device and its state are disclosed. A stored table of load signatures for states is used to identify devices, and states. Energy monitoring information is collected and presented to the user on a display, a remote display, or is transmitted over a network to a remote device such as a personal computer, personal digital assistant, an iPhone TM , a cell phone, voice mail, email, or text message.
[024] Publication No. US2012078593 provided a consumption energy calculating device which simulates power consumption of a heating and cooling appliance operated by a customer living in a house. A first receiver and a second receiver receive a demand response signal and an external environmental factor parameter. A pain level model shows a relationship between an indoor air temperature and a pain level. A first calculator calculates when the appliance is not in operation, the indoor air temperature of a next sample time. A second calculator calculates, when the appliance is in operation, determines the indoor air temperature of the next sample time. A working sequence generator determines whether the appliance is or not to be operated during the next sample time.; the power consumption determination unit determines power consumption consumed by the appliance before the next sample time and outputs data showing the power consumption.
[025] Publication No. 20110153104 provides for determining and displaying the cost of consuming power comprising an appliance including one or more power consuming functions wherein each of the one or more power consuming functions includes an associated power consumption amount. The system compensates for line voltage variations by sensing line voltage and adjusting the power consumption amount. The system further provides a home energy management system (HEM) including a controller in communication with the appliance and configured to provide the HEM with the associated power consumption amount of each of the one or more power consuming functions. The controller being configured to convert the current cost of supplied energy into power consumption cost of the associated power consumption amount of the one or more power consuming functions.
[026] Publication No. 9993/DELNP/2007 relates to the portable electronic terminal capable of changing to an idle or sleep mode during which selective powering of portions of the electronics of the terminal takes place to save energy, the terminal comprising: - at least one memory storing, when in the idle or sleep mode, a program code of a background task and data necessary for the execution of the background task, - a calculator (6) adapted to execute the program code directly from said at least one memory when the terminal is in the idle or sleep mode, wherein said at least one memory includes a NVRAM (Non-Volatile Random Access Memory) (12) which consumes no power to retain and access stored information, the NVRAM storing the program code and/or the data.
[027] Reference may be made to an article entitled “Calculate your appliance running costs” by Government of South Australia, 2014 provides accurate way to find out the running cost of an electrical appliance you plug in is to use an appliance power meter. If you know the input power of your electrical appliances, you can use the the running cost calculator to estimate the maximum hourly and quarterly running cost.
[028] The article entitled “Leveraging smart meter data to recognize home appliances” by Markus Weiss, Adrian Helfenstein, Friedemann Mattern, and Thorsten Staake, Engineering Systems Division, Massachusetts Institute of Technology PerCom; page 190-197, IEEE, 2012. The article talks about an infrastructure and a set of algorithms that make use of smart meters together with smartphones to realize new energy efficiency services (such as itemized electricity bills or targeted energy saving advice). The smartphones, together with a novel filtering approach, much simplify the training process for appliances signature recognition. We also report on the performance of our system that was tested with 8 simultaneous devices, achieving recognition rates of 87%.
[029] Reference may be made to an article entitled “Product power analyzer” by Rotech Elektrotechniek, 2013. The article describes the device equipped with advanced power quality functions and energy monetization capabilities to handle electrical issue.
[030] None of the conventional system describes a system with high reliability. Hence there is a requirement of a high reliability system for the customer to predict the electric vehicle battery status and set the parameter accordingly. The hand held comparison/ test device giving customer real time demonstration to make them fully satisfied according to the requirement.
[031] Though hand held testing device for circuit is mentioned in prior art, there is a need for an efficient comparison/ test system for comparing the life of the battery of electric vehicle.
[032] Therefore, the present invention provides an IoT based system for testing batteries for electric vehicle. This is a hand held comparison/ test device for comparing the multiple batteries of electric vehicle.
OBJECTS OF THE INVENTION:
[033] The principal object of the present invention is to provide an IoT based system for testing batteries for electric vehicle.
[034] Another object of the present invention is to provide a hand held comparison/ test device for comparing the multiple batteries of electric vehicle.
SUMMARY OF THE INVENTION
[035] Accordingly, there is provided an IoT based system and method for testing batteries for electric vehicle. The system includes battery management system (BMS) (A) with a voltage sensor, a current sensor, a temperature sensor that provides data to control unit (B) and communication interface which communicates to the central system. The IoT based central system (C) calculates the internal resistance, charging discharging current through the measure voltage current and frequency wherein the central system compares the measured battery terminal voltage, current, and temperature to a State of Charge (SOC) reset condition and to reset a battery estimate SOC according to the comparison result.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
[036] It is to be noted, however, that the appended drawings illustrate only typical embodiments of this invention and are therefore not to be considered for limiting of its scope, for the invention may admit to other equally effective embodiments.
[037] Figure 1 illustrates a system in accordance with the present invention;
DESCRIPTION OF THE PREFERRED EMBODIMENTS
[038] The present invention provides an IoT based system and method for testing batteries for electric vehicle. Reference may be made to figure 1 which shows block diagram comprises battery management system (BMS) (A) with a voltage sensor, a current sensor, a temperature sensor that provides data to control unit (B) and communication interface which communicates to the central system. The IoT based central system (C) calculates the internal resistance, charging discharging current through the measure voltage current and frequency wherein the central system compares the measured battery terminal voltage, current, and temperature to a State of Charge (SOC) reset condition and to reset a battery estimate SOC according to the comparison result.
[039] The control unit of the battery management system is in communication with the central system via communication interface to communicate with the IoT based central system. The hand held device communicating with the central system to display the comparison of the parameters of the device. The central system calculates the internal resistance, via communicating through the battery management system (BMS) and compares the individual device with the standard parameters to predict the battery life which is communicated the user.
[040] The battery management system (BMS) measures the battery charging and discharging time to predict the life of the battery. The user changes/ sets the standard parameters using hand held device based upon the battery charging and discharging time and the central system tracks multiple battery of the various electric vehicle and notifies the registered user about the battery condition.
[041] The system generates the report and sends to user at remote location through Email, SMS, phone call or any other kind of alert. The saved energy and cost is showed in the term of daily, weekly, monthly or yearly basis and after how much time the battery will be out of life.
[042] Numerous modifications and adaptations of the system of the present invention will be apparent to those skilled in the art, and thus it is intended by the appended claims to cover all such modifications and adaptations which fall within the true spirit and scope of this invention.

WE CLAIM

1. An IoT based system for testing batteries for electric vehicle, comprises:
? battery management system (A) (BMS) with a voltage sensor, a current sensor, a temperature sensor that provides data to control unit (B) and communication interface which communicates to the central system (C);
? an IoT based central system (C) characterized that the system calculates the internal resistance, charging discharging current through the measure voltage current and frequency wherein the central system compares the measured battery terminal voltage, current, and temperature to a State of Charge (SOC) reset condition and to reset a battery estimate SOC according to the comparison result;
? control unit (B) of the battery management system which is in communication with the central system via communication interface to communicate with the IoT based central system;
? hand held device (D) communicating with the central system to display the comparison of the parameters of the device;
? wherein the central system calculates the internal resistance, via communicating through the battery management system (BMS) and compares the individual device with the standard parameters to predict the battery life which is communicated the user.
2. The IoT based system for testing batteries for electric vehicle, as claimed in claim 1, wherein the battery management system (BMS) measures the battery charging and discharging time to predict the life of the battery.
3. The IoT based system for testing batteries for electric vehicle, as claimed in claim 1, wherein the user changes the standard parameters using hand held device based upon the battery charging and discharging time.
4. The IoT based system for testing batteries for electric vehicle, as claimed in claim 1, wherein the central system tracks multiple battery of the various electric vehicle and notifies the registered user about the battery condition.