Abstract
State of Charge (SOC) is essential for a smart Battery Management System (BMS). Traditional SOC estimation methods of lithium-ion batteries are usually conducted using battery equivalent circuit models (ECMs) and the impact of current sensor bias on SOC estimation is rarely considered. For this reason, this paper proposes an online SOC estimation based on a simplified electrochemical model (EM) for lithium-ion batteries considering sensor bias. In EM-based SOC estimation structure, the errors from the current sensor bias are addressed by proportional–integral observer. Then, the accuracy of the proposed EM-based SOC estimation is validated under different operating conditions. The results indicate that the proposed method has good performance and high accuracy in SOC estimation for lithium-ion batteries, which facilitates the on-board application in advanced BMS.
Highlights
These approaches were only carried out in equivalent circuit models (ECMs), while sensor bias was rarely considered in existing electrochemical model (EM)-based SOC estimation methods
According to these research foundations, this paper proposes an online SOC estimation based on simplified EM for Lithium-ion battery (LIB) considering current sensor bias
An online SOC estimation approach based on a simplified EM for lithiumion batteries considering sensor bias is proposed
Summary
Hosny et al [24] applied a non-linear Kalman filter to an augmented model for reducing the influence of the biases in measurements on battery SOC estimation These approaches were only carried out in ECMs, while sensor bias was rarely considered in existing EMs-based SOC estimation methods. Since the platforms of BMS in EVs for implementing the estimation algorithms are generally low-cost microcontrollers, the computational power and resources are usually limited For this reason, the proportional–integral observers (PIOs) [25,26,27] have attracted extensive attention recently due to its applicability to online estimation. According to these research foundations, this paper proposes an online SOC estimation based on simplified EM for LIB considering current sensor bias.
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