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. 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.Smart BESS charging stationEV battery testingState of chargeRemaining life predictionEV Electric vehicleBESS Battery energy storage systemSOC State of chargeSOH State of healthRUL Remaining useful lifeV2G With the rapid socio-economic development, EVs are highly valued by governments and research institutes. As a clean, efficient, and smart vehicle, EV are the best alternative to motor vehicles. With the continuous development of EVs, problems regarding the technical and safety aspects of EVs are gradually being exposed. As a commodity for daily use, the service life and safety issues of EVs are the main issues that restrict their development nowadays,. These two problems are ultimately traced back to the batteries used in EVs, i.e. power batteries. Power battery is still one of the key issues that restrict the development of the EV industry. 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. Therefore, the testing of the power battery becomes especially important,.To address the above challenges, based on the existing technical means of EV battery testing, this paper further explores the method of online monitoring the life and safety of EV batteries. To the best of the authors' knowledge, the contributions of this article are as follows:•(1)2.1. EV battery testing main termsEV power battery testing has three main elements, namely SOC, SOH and battery life prediction. The relationship between capacity loss Lcal per d, the SOC and the temperature of the battery is shown for different temperatures in Fig. 1. As the temperature increases, the SOC gradually increases at the same reaction rate. SOC is a transient quantity that characterizes the amount of battery power remaining in the current charge cycle or the length of the remaining run time. It is also a non-direct measurement value that is easier to obtain during power cell testing.In Fig. 2, it is shown how the SOH evolves over time due to the isolated parts and the total degradation. It includes cycle life, calendar life and total life. With the passage of time, the three indicators are in a fluctuating decline. It can be seen that the SOH decreases faster in summer than in winter, which is caused by the influence of the outside air temperature. SOH is a transient quantity that characterizes the ability of a battery to store electrical energy and energy relative to a new battery and is an indicator that quantitatively describes the performance state of the battery.Fig. 1. EV battery SOC curve.With a defined temperature and SOC, the relationship of remaining battery capacity between increasing aging time under different scenarios is shown in Fig. 3. Scenario 1 is normal EV charging scene. Scenari.
