Energy storage battery BMS standard soc estimation

The reliable prediction of state of charge (SOC) is one of the vital functions of advanced battery management system (BMS), which has great significance towards safe operation of electric vehicles.

Hence, an effectively advanced battery management system (BMS) is continuously required to monitor the different operation states of LIBs, such as state of charge (SOC) and state of health (SOH) . And a general schematic diagram of an efficient BMS is specifically depicted in Fig. 1.

Combining the investigated future perspectives, the appropriate physics-based SOC estimations can create more possibilities in battery health management applications.

Batteries store energy, possess a rechargeable portion, and lose an inactive part permanently as they age. The SoC BMS refers to the stored energy, which measures the remaining energy capacity of the battery as a percentage of the total energy capacity, including the passive part.

For this reason, the accurate SOC estimation is one of crucial evaluation indicators of BMS, which are helpful to provide information about the remaining charge of the battery and give the great assurance of an efficient and safe EV operation, . Fig. 1. Schematic diagram of state estimation of battery in BMS.

The establishment of battery models is essential for advanced BMS to estimate SOC accurately. And the EMs providing physical mechanism have become increasingly competitive alternative to empirical models and it is also the key basis for the realization of physical SOC estimation.