A Hardware-in-loop test platform for BMS in the energy storage system based on an Extended Single Particle model

The battery management system (BMS), an integral part of the energy storage system, ensures its safety and reliability. This paper introduces a hardware-in-loop testing platform for BMS in the energy storage system that relies on an electrochemical model. The main objective of the testing platform is to assess the viability of the estimation algorithm on the BMS. The Extended Single Particle (ESP) model, combined with Extended Kalman Filtering (EKF) algorithm, is chosen to simulate state of the cell. The estimation algorithm is then placed in a semi-physical simulator. The algorithm acquires real-time voltage and current signals from the cell and calculates the State of Charge (SOC). The stability of the algorithm has been verified in the absence of BMS hardware equipment.