Herein, the development of advanced battery sensor technologies and the implementation of multidimensional measurements can strengthen battery monitoring and fault diagnosis capabilities.
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 .
Recently, a phase changing materials is embedded with the liquid refrigerating plate to enhance the performance of battery cells . BMS and charging technology are closely correlated in EVs, with the BMS providing critical information and control over the charging process to ensure the battery's safety, performance, and longevity.
Due to its high energy density, solid-state battery technology, like lithium-metal batteries, has drawn significant interest for electric vehicles (EVs), although this technology still requires exploration and expansion. Enhancing the energy density of LIBs is great challenge in the current automotive industry.
Domestic research on BMS started late, but in the past 10 years, BMS has developed extremely rapidly under the traction of the new energy vehicle industry. Beijing Institute of Technology has developed a lead-acid battery management system with a single-chip microcomputer as the core for the North Bus BFC110EV .
The integration of battery management systems (BMSs) with fault diagnosis algorithms has found extensive applications in EVs and energy storage systems [12, 13]. Currently, the standard fault diagnosis systems include data collection, fault diagnosis and fault handling , and reliable data acquisition [, , ] is the foundation.