Journal of Advanced Computational Intelligence and Intelligent Informatics
Online ISSN : 1883-8014
Print ISSN : 1343-0130
ISSN-L : 1883-8014
Regular Papers
An Adaptive Fast Charging Strategy for LiFePO4 Battery Applied to Heavy-Haul Train ECP Brake System
Liran LiZhiwu HuangXiaohui GongJun PengYanhui Zhou
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JOURNAL OPEN ACCESS

2016 Volume 20 Issue 7 Pages 1077-1085

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Abstract

A dedicated LiFePO4 battery management system (BMS) used in the electrically controlled pneumatic brake system of a heavy-haul train needs a reliable, efficient and safe charging system to guarantee an uninterrupted power supply. To achieve that, this paper proposes an adaptive fast and safe charging strategy for Li-ion batteries based on the Lyapunov stability theory. In the strategy, a sliding-mode state of charge (SOC) observer is designed, and based on this, the dynamical reference charging current profile is derived. With the estimated SOC and dynamical setting current, the adaptive current control law is proposed by using a Lyapunov function. Finally, experiments are conducted to verify the feasibility and superiority of the proposed method.

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