Artificial Intelligence and Cloud Synergy for Scalable Battery Management Systems

Due to a rapid transformation of EV and the battery storage system, the battery management system (BMS) is essential to ensure an optimal performance of the piles of Battery storage. A BMS monitors and controls parameters such as voltage, current and temperature. A traditional BMS has a minimum support of analytics and its limited to local processing. But when the battery information’s are uploaded to the internet, it's easier to manage maintenance and track battery’s performance from anywhere in the world. This IoT /Cloud based system easy and made earlier thereby giving a system alarm before the issue turns big. Management of a lot number of batteries at once saves a lot of money at places like EV charging station and Energy Storage System (BESS). Software updates to the system can also be sent remotely. Also, a BMS connected to cloud can also be used to support weaker grids in an instant if it needs the reactive power support. Cloud integration of BMS with the grid network will help in better planning of energy management at load dispatch centers. A BMS managing a pack of batteries at a renewable energy system can help to understand power demand and decide when the best time is to charge or discharge. So, this can monitor all the battery without being near them. Further, identifying the problems is work focuses on a AI based battery management system connected to cloud to control and monitor the Voltage, temperature, Cell balancing SOC, SOH and fault identification. This BMS system has a easy scalability to a thousand of battery connected. As the demand for EV and clean energy soars this cloud integrated BMS would play an important role in managing the batteries that are in part of that system making it smarter, efficient and reliable.