DESC:FIELD OF INVENTION
The present invention generally relates to an Intelligent Remotely Tracking and Monitoring System (hereinafter referred as IRTMS) for remotely tracking and monitoring the real time data of chargeable battery bank; wherein particularly the said IRTMS comprises a battery tracking unit involving the IoT devices and continuously performs tracking and monitoring of the real time data generated from an electric vehicle or other electric power consuming machine from a remote location, connected to said battery bank through wire or wirelessly.
Said Battery Tracking Unite (BTU) of the instant Intelligent Remotely Tracking and Monitoring System (IRTMS), is preferably an advanced microcontroller based device, which is suitably installed with the battery bank, assembled within the Electric vehicle or any other electric power consuming device. The battery bank is preferably a Lithium Ion Battery Pack, consisting of plurality of Lithium Ion Cells. Alternatively, the battery Bank for the electric vehicle or a domestic battery based power supply is at least one Lead Battery set. Said BTU is so provisioned that it receives real time data from the said battery bank involving various dedicated sensors therein, processes those data and effectively communicates such processed data, through IoT devices, to the server and database of the instant Intelligent Remotely Tracking and Monitoring System (IRTMS). Said IRTMS is particularly responsible for tracking and monitoring the data received, pertaining to the real time functioning and health of the battery bank, namely relating to voltage and/or current values, charging/discharging related parameters, temperature, current leakage, overall operational life and functioning/maintenance related aspects etc.
This invention relates to batteries, including lithium-ion batteries, to be used in Electric Vehicles, or any other application of such battery. This invention relates to and discloses an Intelligent Remotely Tracking and Monitoring System (IRTMS) whereby electronic, mechanical, IoT or other devices are attached (removable or permanent) to a battery, enabling easy monitoring of various parameters and operational matrices of the battery. Such system (IRTMS), through the BTS device, is attached to the battery; characterized in continuous and real time transmission of signals from said battery to an external device outside the battery through wires or wirelessly; whereby the various operational matrices of the battery is transmitted. The External device could be a cloud storage device or any other storage medium; where the data can be received and the various data parameters observed. A user can take necessary preventive steps to improve the performance of the battery or take steps to prevent damage to the battery.
In a preferred embodiment, the invention relates to an Intelligent Remotely Tracking and Monitoring System (IRTMS) to analyze the gathered real-time data of the lithium-ion batteries connected in Electric Vehicles or Energy Storage Systems using the battery tracking unit, through various means including IoT device.
Another objective of the system is to monitor, know, generate insights with processes, software, devices, systems, algorithms to enable various platforms to provide improvement in the Lithium-Ion Battery Technology or other battery technologies in terms of the usable life cycle, reliability, failure prevention/maintenance and other parameters.
BRIEF DESCRIPTION OF THE DRAWINGS
In a preferred embodiment as in Fig 1 which presents an exemplary and schematic representation of the Battery Tacking Unit (BTU) enabled Lithium-ion battery intelligence system.
The Lithium-ion battery with connected BTU (1), continuously fetches the information related to the battery pack operating parameters from the battery management system. In parallel, the BTU transfers the received information to the cloud server through the internet (2) where the data management, control, and storage action are performed.The stored data is pipelined to thedata analytics platform (3)using API endpoints. Data scientists analyze the data usingAdvanced Battery Modeling and Artificial Intelligence Algorithms. The analyzed data is stored to the cloud server and sent to different platforms through the cloud serverto stakeholders such asBattery Aggregators, Users(4), Battery Insurers,FinancialPolicymakers or Service Providers(5), Charging Units (6), Battery Swapping Stations (7), Battery OEMs (8), Recyclers (9)and End-User Mobile Applications(10).
BRIEF DESCRIPTION OF THE INVENTION
The present invention generally relates to an Intelligent Remotely Tracking and Monitoring System (hereinafter referred as IRTMS) for remotely tracking and monitoring the real time data of chargeable battery bank; wherein particularly the said IRTMS comprises a battery tracking unit involving the IoT devices and continuously performs tracking and monitoring of the real time data generated from an electric vehicle or other electric power consuming machine from a remote location, connected to said battery bank through wire or wirelessly.
Said Battery Tracking Unite (BTU) of the instant Intelligent Remotely Tracking and Monitoring System (IRTMS), is preferably an advanced microcontroller based device, which is suitably installed with the battery bank, assembled within the Electric vehicle or any other electric power consuming device. The battery bank is preferably a Lithium Ion Battery Pack, consisting of plurality of Lithium Ion Cells. Alternatively, the battery Bank for the electric vehicle or a domestic battery based power supply is at least one Lead Battery set. Said BTU is so provisioned that it receives real time data from the said battery bank involving various dedicated sensors therein, processes those data and effectively communicates such processed data, through IoT devices, to the server and database of the instant Intelligent Remotely Tracking and Monitoring System (IRTMS).
This invention relates to batteries, including lithium-ion batteries, to be used in Electric Vehicles, or any other application of such battery. This invention relates to and discloses a system, device whereby electronic, mechanical, IoT or other devices are attached (removable or permanent) to a battery, enabling easy monitoring of various parameters and operational matrices of the battery. Such device attached to the battery are enabled to transmit signals to an External device outside the battery through wires or wirelessly whereby the various operational matrices of the battery is transmitted. The External device could be a cloud storage device or any other storage medium where the data can be received and the various data parameters observed. A user can take necessary preventive steps to improve the performance of the battery or take steps to prevent damage to the battery.
In a preferred embodiment, the invention relates to a intelligent system to analyze the gathered real-time data of the lithium-ion batteries connected in Electric Vehicles or Energy Storage Systems using the battery tracking unit, through various means including IoT device.
Another objective of the system is to monitor, know, generate insights with processes, software, devices, systems, algorithms to enable various platforms to provide improvement in the Lithium-Ion Battery Technology or other battery technologies in terms of the usable life cycle, reliability, failure prevention/maintenance and other parameters.
Lithium-ion batteries are one of the most important, expensive, and hazardous part of an Electric Vehicle. Due to the highly non-linear and dynamic behavior of Lithium-ion batteries, it is challenging to keep them in a safe operating area. Moreover, with the growing demand for Electric Vehicle, the monitoring of Lithium-ion batteries used in Electric Vehicles will become challenging gradually. Therefore, it is necessary to develop an environment where the Lithium-ion batteries can be monitored, and information can be generated so as to control the functioning of the batteries as well as to improve their performance. Also, it is important to provide the relevant information to the key stakeholders such as Battery OEMs, Charging Systems, Battery Swapping Stations, Battery Insurance Policymakers, and Battery Aggregators to understand the battery behavior. In the last couple of years, there are few industries have developed the battery intelligent system to support the battery end users only. However, it is not possible to develop a healthy battery ecosystem without the involvement of key stakeholders in the battery intelligence system. In this invention, the shortcomings of the existing battery intelligence system are outperformed.
Referring to Fig 1, with the help of the battery tracking unit (IoT device) (1), the real-time data of the Lithium-ion batteries used in different Electric Vehicles and Energy Storage Systems is remotely transferred to the cloud (2) through a wireless communication medium. The primary data points include battery pack voltage, charging/discharging current, operating temperature, state of charge, series-connected cells voltage, time, date, longitude, latitude, network strength at the remote location etc. Data transferred to the cloud is managed and controlled from the analytical platform and stored in the assigned database in the cloud (2). Thereafter, the stored datasets are analyzed using advanced battery modeling, advanced statistical method, and artificial intelligence algorithm by data scientists at the analytical platform (3). An analyzer platform evaluates the valuable information related to the Lithium-ion batteries used in Electric Vehicles or Energy Storage Systems such as predicted life cycle, recommended charging profile, suitable depth of discharge range, battery credit score(for resale of packs),anomalies/fault notification and resolution and other parameters. The analyzed information is sent back to the cloud and stored (2). Based on the applications and data relevancy, the analyzed datasets are transferred through an Application Programming Interface (API) end pointto the different platforms or agencies such as Battery Aggregator (4), Battery Insurer &Finance Policymaker or Service Provider (5), Charging Units (6), Battery Swapping Stations (7), Battery OEMs (8), Recyclers (9) and End-User Mobile Application(10). Cloud could be understood as storage of data on the internet or at a place outside the place where the data is generated such that it is accessible through the internet.
KEY FEATURES OF INVENTION:
The key features of a Battery tracking unit (IoT device) enabled Intelligent Remotely Tracking and Monitoring System (IRTMS) are listed below:
• 24/7 tracking of Lithium-ion batteries connected in the Electric Vehicles or Energy Storage Systems through various electronic or mechanical devices including chips, processors etc attached to the battery.
• The facility of continuous recording and collection of the battery pack level to cell level data including voltage, current, temperature and other parameters within wireless network coverage as well as outside it.
• Use of advanced battery modeling method and process to develop the virtual replica of the physical battery.
• Provide real-time information of the accurate state of charge, state of health, state of energy, state of power of the battery pack and other parameters by utilizing advanced battery modeling method, process, artificial intelligence algorithm, computer systems, electronic and mechanical devices.
• Provide the accurate remaining useful life information etc. by using statistical method, process, on the historical data.
• Ability to send real-time alert or notification to the end-user under the abnormal behavior and improper handling of the battery pack or cell including harmful charging and discharging profiles that may violate the warranty and permanent damage of the battery pack or cell.
• Forecasting the required energy profile based on the historical data and the optimize the charging profile to extend the battery life cycle by the recommendation of suitable charge C-rate and the State of Charge or Depth of Discharge range.
• Facility to provide unique credit score to decide the resale price of the used battery pack based on the capacity degradation profile and historical usage data.
• Provide access to the advanced analytics on battery data (live and historical), so that the insurers can price the premiums on the battery insurance accordingly.
• Facility to aid the battery insurer & finance policymaker or service provider in regularizing the policies.
• Easily configurable with any rating and chemistry of Lithium-ion battery used in Electric Vehicle or Energy Storage System.
• Unique and easily accessible data visualization dashboard and interactive platform for the end-users through various electronic devices.
• Easily configurable with a wireless communication interface through hardware, computer systems, electronic and mechanical devices.
This system can be applied, adopted or adapted suitably in any other Battery technology also and reference to Lithium-ion battery shall be understood to such other battery technology also. Similarly, this system can be applied, adopted or used in any other application where battery is being used and is not limited to the use of battery in Electric Vehicles.
,CLAIMS:What we claim is:
1. An Intelligent Remotely Tracking and Monitoring System (hereinafter referred as IRTMS) for remotely tracking and monitoring the real time data of chargeable battery bank; wherein particularly the said IRTMS comprises a battery tracking unit involving the IoT devices and continuously performs tracking and monitoring of the real time data generated from an electric vehicle or other electric power consuming machine from a remote location, connected to said battery bank through wire or wirelessly.
2. The Intelligent Remotely Tracking and Monitoring System, as claimed in claim 1, wherein the said Battery Tracking Unite (BTU) of the instant Intelligent Remotely Tracking and Monitoring System (IRTMS), is preferably an advanced microcontroller based device, which is suitably installed with the battery bank, assembled within the Electric vehicle or any other electric power consuming device. The battery bank is preferably a Lithium Ion Battery Pack, consisting of plurality of Lithium Ion Cells. Alternatively, the battery Bank for the electric vehicle or a domestic battery based power supply is at least one Lead Battery set. Said BTU is so provisioned that it receives real time data from the said battery bank involving various dedicated sensors therein, processes those data and effectively communicates such processed data, through IoT devices, to the server and database of the instant Intelligent Remotely Tracking and Monitoring System (IRTMS). Said IRTMS is particularly responsible for tracking and monitoring the data received, pertaining to the real time functioning and health of the battery bank, namely relating to voltage and/or current values, charging/discharging related parameters, temperature, current leakage, overall operational life and functioning/maintenance related aspects etc.
3. The Intelligent Remotely Tracking and Monitoring System (IRTMS), as claimed in any of the claims 1-2, wherein the construction and functionality of said IRTMS is generally illustrated in the Figure 1, hereinbelow:-

4. The Intelligent Remotely Tracking and Monitoring System (IRTMS), as claimed in any of the claims 1-3, wherein referring to Fig 1, said IRTMS includes following aspects:-
with the help of the battery tracking unit (IoT device) (1), the real-time data of the Lithium-ion batteries used in different Electric Vehicles and Energy Storage Systems is remotely transferred to the cloud (2) through a wireless communication medium. The primary data points include battery pack voltage, charging/discharging current, operating temperature, state of charge, series-connected cells voltage, time, date, longitude, latitude, network strength at the remote location etc. Data transferred to the cloud is managed and controlled from the analytical platform and stored in the assigned database in the cloud (2). Thereafter, the stored datasets are analyzed using advanced battery modeling, advanced statistical method, and artificial intelligence algorithm by data scientists at the analytical platform (3). An analyzer platform evaluates the valuable information related to the Lithium-ion batteries used in Electric Vehicles or Energy Storage Systems such as predicted life cycle, recommended charging profile, suitable depth of discharge range, battery credit score(for resale of packs),anomalies/fault notification and resolution and other parameters. The analyzed information is sent back to the cloud and stored (2). Based on the applications and data relevancy, the analyzed datasets are transferred through an Application Programming Interface (API) end point to the different platforms or agencies such as Battery Aggregator (4), Battery Insurer &Finance Policymaker or Service Provider (5), Charging Units (6), Battery Swapping Stations (7), Battery OEMs (8), Recyclers (9) and End-User Mobile Application (10). Cloud could be understood as storage of data on the internet or at a place outside the place where the data is generated such that it is accessible through the internet.
5. The Intelligent Remotely Tracking and Monitoring System (IRTMS), as claimed in any of the claims 1-4, wherein said system (IRTMS) is capable of tracking and monitoring data from any kind of battery(ies), including Lithium ion battery being used in Electric Vehicles, or any other battery. Said Intelligent Remotely Tracking and Monitoring System (IRTMS) comprises electronic, mechanical, IoT or other devices, attached (removable or permanent) to a battery, enabling easy monitoring of various parameters and operational matrices of the battery. Such system (IRTMS), through the BTS device, is attached to the battery; characterized in continuous and real time transmission of signals from said battery to an external device outside the battery through wires or wirelessly; whereby the various operational matrices of the battery is transmitted. The External device could be a cloud storage device or any other storage medium; where the data can be received and the various data parameters observed. A user can take necessary preventive steps to improve the performance of the battery or take steps to prevent damage to the battery.
6. The Intelligent Remotely Tracking and Monitoring System (IRTMS), as claimed in any of the claims 1-5, wherein said IRTMS is characterized in analyzing the gathering real-time data of the lithium-ion batteries connected in Electric Vehicles or Energy Storage Systems using the battery tracking unit, through various means including IoT device.
7. The Intelligent Remotely Tracking and Monitoring System (IRTMS), as claimed in any of the claims claim 1-6, wherein the field of the invention relating to instant IRTMS mainly includes aspects of monitoring, knowing, generating insights with processes, software, devices, systems, algorithms to enable various platforms to provide improvement in the Lithium-Ion Battery Technology or other battery technologies in terms of the usable life cycle, reliability, failure prevention/maintenance and other parameters.
8. The Intelligent Remotely Tracking and Monitoring System (IRTMS), as claimed in any of the claims 1-7, wherein key features of a Battery tracking unit (IoT device) enabled Intelligent Remotely Tracking and Monitoring System (IRTMS) are listed as under:
• 24/7 tracking of Lithium-ion batteries connected in the Electric Vehicles or Energy Storage Systems through various electronic or mechanical devices including chips, processors etc attached to the battery.
• The facility of continuous recording and collection of the battery pack level to cell level data including voltage, current, temperature and other parameters within wireless network coverage as well as outside it.
• Use of advanced battery modeling method and process to develop the virtual replica of the physical battery.
• Provide real-time information of the accurate state of charge, state of health, state of energy, state of power of the battery pack and other parameters by utilizing advanced battery modeling method, process, artificial intelligence algorithm, computer systems, electronic and mechanical devices.
• Provide the accurate remaining useful life information etc. by using statistical method, process, on the historical data.
• Ability to send real-time alert or notification to the end-user under the abnormal behavior and improper handling of the battery pack or cell including harmful charging and discharging profiles that may violate the warranty and permanent damage of the battery pack or cell.
• Forecasting the required energy profile based on the historical data and the optimize the charging profile to extend the battery life cycle by the recommendation of suitable charge C-rate and the State of Charge or Depth of Discharge range.
• Facility to provide unique credit score to decide the resale price of the used battery pack based on the capacity degradation profile and historical usage data.
• Provide access to the advanced analytics on battery data (live and historical), so that the insurers can price the premiums on the battery insurance accordingly.
• Facility to aid the battery insurer & finance policymaker or service provider in regularizing the policies.
• Easily configurable with any rating and chemistry of Lithium-ion battery used in Electric Vehicle or Energy Storage System.
• Unique and easily accessible data visualization dashboard and interactive platform for the end-users through various electronic devices.
• Easily configurable with a wireless communication interface through hardware, computer systems, electronic and mechanical devices.