SOC Estimation for Lithium-ion Battery Based on Model-in-the-Loop for Embedded System Test

Abstract

Traditional state of charge (SOC) estimation algorithms require coding for embedded system, which will consume much time. In order to improve the development efficiency, this paper proposes a process for developing a SOC estimation algorithm based on Model-in-the-Loop for Embedded System Test (MiLEST), taking lithium-ion battery as an example. First, an equivalent circuit model is established, the model parameters are identified, and the SOC estimation model is designed. Second, offline simulations are performed to verify the model initially. Last, real-time battery data is collected for real-time simulation, and the model generation codes are downloaded to the embedded system to form MiLEST. The results show that the proposed SOC algorithm development process is efficient and cost-saving.