Battery State of Charge Estimation Based on a Pure Hardware Implementable Method

Xiaopeng TANG, Furong GAO, Ke YAO, Yujie WANG

Abstract


In this paper, a light-weighted state of charge (SoC) estimation method is proposed. A novel proportional-integral-delta structure is proposed to improve the noise-rejection performance. Experimental results show that the proposed algorithm can achieve a 4% accuracy with the presence of 50mV voltage measurement noise, while its computational time is 90% less than that of the extended Kalman filter. Compared with the existing SoC algorithms, a distinguishing feature of the algorithm is that it is implementable using pure analog devices. This feature makes it possible to build a redundant hardware-based SoC estimator to enhance the overall reliability of the battery management system.

Keywords


State of charge; Electric vehicles; Light-weighted observer; Redundant design


DOI
10.12783/dteees/iceee2018/27801

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