A battery (lithium ion battery) used in an EV deteriorates every time the battery discharges or is charged. These cycles of battery deterioration may lead to a drop in the vehicle performance. The BMS is an important solution to this problem.
AI-based BMS may significantly boost the efficiency and lifespan of EV batteries by real-time optimizing charging, discharging, and balancing processes. The development of an AI-based, cloud-connected battery management system for electric vehicles offers the Battery Management System (BMS) market a lucrative opportunity.
Detoiration or degradation of any cell of battery module during charging/discharging is monitored by the battery management system . Monitoring battery performance in EVs is done in addition to ensuring the battery pack system's dependability and safety .
The performance of BMS enhance by optimizing and controlling battery performance in many system blocks through user interface, by integrating advanced technology batteries with renewable and non-renewable energy resource and, by incorporating internet-of-things to examine and monitor the energy management system .
The battery module is protected from overcharging and overdischarging by the BMS. The charge level is maintained between the maximum and minimum permissible levels to prevent unforeseen occurrences (explosions). Therefore, a BMS is a crucial technology for guaranteeing the security of both the battery and user.
Authors have claimed that the degradation mechanism of lithium-ion batteries affected anode, cathode and other battery structures, which are influenced by some external factors such as temperature. However, the effect of battery degradation on EV and energy storage system has not been taken into consideration.