Addresses the methodology and theoretical foundation of battery manufacturing, service and management systems (BM²S²), and discusses the issues and challenges in these areas.
What is battery management system & ITS applications?
Featuring detailed case studies and industrial applications, Battery Management System and its Applications is a must-have resource for researchers and professionals working in energy technologies and power electronics, along with advanced undergraduate/postgraduate students majoring in vehicle engineering, power electronics, and automatic control.
Furthermore, BMSs enhance the charging and discharging processes to prolong the battery's lifespan and optimize its performance, which in turn leads to extended driving ranges and improved vehicle dependability. Advanced BMSs monitor key statuses of the battery, such as the State of Charge (SOC) and State of Health (SOH).
The battery management system is mainly divided into distributed and centralized ones. The centralized control runs by a controller and processes the data collected by all monitoring modules. Distributed with a master controller, each monitoring module has its independent divider to process the collected data.
To effectively manage battery-related (BMS) is essential. T his system needs to off er real-time management strategie s. By inco rporating advanced batteries. Fig.3. Factors aff ecting the battery is vital fo r maintaining ba ttery eff iciency. Excessive battery per formance. The BMS must include
Although the battery management system has relatively complete circuit functions, there is still a lack of systematic measurement and research in the estimation of the battery status, the effective utilization of battery performance, the charging method of group batteries, and the thermal management of batteries.
How does information technology affect battery manufacturing systems?
The first part focuses on battery manufacturing systems, including modeling, analysis, design and control, as well as economic and risk analyses. The second part focuses on information technology's impact on service systems, such as data-driven reliability modeling, failure prognosis, and service decision making methodologies for battery services.