Battery Equalization Control Based on the Shunt Transistor Method

Author:

Gallardo-Lozano Javier1,Romero-Cadaval Enrique2,Milanés-Montero María Isabel2,Guerrero-Martinez Miguel A.3

Affiliation:

1. PhD student, University of Extremadura – UE

2. Professor, UE

3. Researcher, UE

Abstract

Abstract Electric Vehicle (EV) researches are currently becoming of special importance and the EV battery system is particularly relevant in the EV design. In these applications, series connected batteries are necessary since a single battery cannot achieve the voltage requirements. Internal and external sources lead the batteries string to become unbalanced, which is an important factor to be taken into account, as premature cells degradation, safety hazards, and reduced capacity will occur for unbalanced systems. The different balancing methods are presented and compared in this paper, and finally the switch capacitor and the double-tiered switching capacitor are considered the best option. However, their speed depends on the voltage difference between the batteries in the string, and when their voltage difference is low, the equalization speed decreases significantly, leading the battery pack to be unbalanced for longer. A novel equalization method is presented, that improves the aforementioned methods performance by applying a new control to a shunt transistor method. Low cost, size, and complexity, together with higher speed and efficiency are obtained. A prototype has been built, and experimental results are presented.

Publisher

Walter de Gruyter GmbH

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modelling of Battery Management System based on Switching Capacitors;2024 47th International Spring Seminar on Electronics Technology (ISSE);2024-05-15

2. Design of active equalizer for lithium-ion battery pack based on double-tiered modular resonance;Systems Science & Control Engineering;2018-09-21

3. Variable Universe Fuzzy Control for Battery Equalization;Journal of Systems Science and Complexity;2018-02

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