The fusion of EV technology and IoT has introduced a new era of intelligent battery management. It addresses key challenges in EV and battery-powered systems by monitoring, controlling, and optimizing various aspects of battery operation.
The technical challenges and difficulties of the lithium-ion battery management are primarily in three aspects. Firstly, the electro-thermal behavior of lithium-ion batteries is complex, and the behavior of the system is highly non-linear, which makes it difficult to model the system.
The intelligent algorithms are suitable for lithium-ion batteries to address complex, dynamic, and nonlinear characteristics (Zhao et al., 2020). Besides, intelligent algorithms demonstrate enhanced learning capability, fast convergence speed, improved generalization and high accuracy (Xiong et al., 2018b).
By combining EV technology with the Internet of Things (IoT), this paper explores state-of-the-art solutions for comprehensive battery management. The fusion of EV technology and IoT has introduced a new era of intelligent battery management.
MOKOENERGY’s smart Battery Management System (BMS) is an intelligent and multi-functional protection solution that was developed for 4 series battery packs used in various start-up batteries and electrical energy storage devices.
Battery management system (BMS) plays a significant role to improve battery lifespan. This review explores the intelligent algorithms for state estimation of BMS. The thermal management, fault diagnosis and battery equalization are investigated. Various key issues and challenges related to battery and algorithms are identified.