Battery state of charge estimation hardware-in-loop system design based on xPC target

A novel State of Charge (SOC) estimation algorithm in Battery management system (BMS) needs to be simulated and tested abundantly before application. Therefore, in this paper, a hardware-in-loop (HIL) platform based on xPC target is built to simulate and test the SOC estimation algorithms. Firstly, we design a data acquisition system with a hardware filter. Secondly, a first-order RC network equivalent circuit battery model is founded, and we utilize Kalman filter (KF) method to design the estimation based on the model. Then the real-time simulation model used in xPC Target is generated and downloaded into the target computer via TCP/IP to estimate real battery SOC in real-time operation. Finally, we test KF algorithm in the proposed HIL platform. The simulation and experimental results prove the effectiveness and feasibility of KF to be used in real vehicles for SOC estimation.

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