State of charge estimation based on active disturbance rejection control for power batteries in engine waste heat recovery system

Author:

Lei Zhengling1ORCID,Liu Tao2,Xie Hui3,Sun Qiang4,Sun Xiaoming1

Affiliation:

1. College of Engineering Science and Technology, Shanghai Ocean University, China

2. College of Transport & Communications, Shanghai Maritime University, China

3. State Key Laboratory of Engines, Tianjin University, China

4. School of Energy and Power Engineering, Shandong University, China

Abstract

The Coulomb counting (CC) method is the most widely accepted state of charge (SOC) estimation method in the industry. However, the cumulative error generated during operation is a huge challenge for the engineering application. A feedback regulation framework is designed to address this situation; however, the basic problem of this framework is that the error regulation occurs only after the error is generated. As a result, its initiative to suppress system disturbance is insufficient. To overcome this problem, an active disturbance rejection control–based-feedback-estimator is proposed in this paper. The regulation is designed based on the terminal voltage error between actual measurement and theoretical value. And active disturbance rejection control is employed to improve the estimation accuracy and adaptability. The power batteries’ SOC estimation in engine waste heat recovery system is studied in this paper. Compared with the traditional CC method and a proportional–integral (PI) feedback estimation method, the proposed active disturbance rejection control-feedback-estimator exhibits better estimation performance and adaptability to system disturbances and uncertainties. There are only three parameters [Formula: see text], [Formula: see text], and [Formula: see text] to tune, and estimation performance can be maintained without having to retune parameters when boundary conditions change, proving the effectiveness of the proposed active disturbance rejection control-feedback-estimator.

Funder

Open Reseach Program of Shanghai Key Lab of Intelligent Information Processing

the development of science and technology of Shanghai Ocean University

shanghai engineering technology research center

the Open Subject of the State Key Laboratory of Engines

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Instrumentation

Reference45 articles.

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