Abstract
The accuracy of the power battery model and SOC estimation directly affects the vehicle energy management control strategy and the performance of the electric vehicle, which is of great significance to the efficient management of the battery and the improvement of the reliability of the vehicle. Based on the research of domestic and foreign battery models and the previous results of SOC estimation, this paper classifies power battery models into electrochemical mechanism models, equivalent circuit models and data-driven models. This paper analyzes the advantages and disadvantages of various battery models and current research progress. According to the choice of battery model, the previous research results of the power battery SOC estimation method are divided into three categories: the direct measurement method not based on battery model, the estimation method using black box battery model, and the battery model SOC estimation method based on state space. This paper will summarize and analyze the principles, applicable scenarios and research progress of the three categories of estimation algorithms aiming to provide references for future in-depth research. Finally, in view of the shortcomings of the battery model and estimation algorithm of the existing method, the future improvement direction is proposed.
Highlights
Processes 2021, 9, 1685. https://Power battery SOC estimation is one of the key technologies of electric vehicles, and its accuracy directly affects the vehicle energy management control strategy and the performance of the electric vehicle, which in turn affects the reliability and cost of the vehicle
According to the selection of models in battery SOC estimation, battery SOC estimation algorithms are roughly divided into three categories: direct measurement method not based on battery model, the SOC estimation method using the black box battery model, and the SOC estimation method based on the state space battery model
SOC estimation the The black state box battery model usually of an offline database, and the space model isrequires basedthe onestablishment the battery model to establish the sample training process has a large amount of calculation, which is prone to phenomspace expression, andand the battery is usedItas one of the state ena such as over-fitting falling into local is currently difficult to variables, apply battery
Summary
Power battery SOC estimation is one of the key technologies of electric vehicles, and its accuracy directly affects the vehicle energy management control strategy and the performance of the electric vehicle, which in turn affects the reliability and cost of the vehicle. An accurate and appropriate power battery model can effectively reflect the correspondence between the external parameters of the battery and the internal state of the battery, and simplify and specify the SOC estimation problem It is very important for the simulation, design and optimization of electric vehicles. Compared with other review literature, this article summarizes the latest research results, and comprehensively and thoroughly analyzes each battery model and SOC estimation method. The SOC estimation method based on the equivalent circuit model is systematically sorted out and compared with advantages and disadvantages. It introduces in detail the factors affecting the estimation error and its countermeasures
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