Overview of EV battery testing and evaluation of EES systems located in EV charging station with PV

Abstract

With the continuous development of Evs (electric vehicles) and new energy, smart BESS (battery energy storage system) charging stations came into being, and the EV battery testing technology is particularly important. Improving the stability of the vehicle can not only reduce the accident rate of the vehicle, reduce casualties and economic losses, but also improve the traffic conditions and people’s living standards. To ensure safe battery use and reduce average lifecycle costs, EV battery inspection methods with real-time implementation are required in different applications. Therefore, this paper discusses the methods for the SOC (state of charge), SOH (state of health), and remaining life prediction of EV batteries, followed by an analysis of potential application techniques and practical application scenarios. A complete solution for the whole life cycle online inspection and fault detection of EV batteries is proposed, using the SOC, SOH algorithm and drive method for special scenario application described in the paper. In addition, a future life prediction method that may be applied to battery detection during charging of EV in EV charging stations with PV can be obtained based on the EV and battery aging model. And this paper provides a comparative analysis of the EV battery test reports provided by two charging post operators and gives corresponding charging recommendations. Finally, the future development prospects and applications of the testing technologies are extended by the real charging scenarios of EVs.

Keywords

• Smart BESS charging station
• EV battery testing
• State of charge
• Remaining life prediction