Fuzzy Battery Manager: Charging and Balancing Rechargeable Battery Cells with Fuzzy Logic

This paper presents the design, implementation, and testing of a fuzzy battery manager featuring a novel hardware design. The system uses a fuzzy inference system to charge and balance two battery cells in series, integrating a microcontroller and a battery charging IC to demonstrate battery management with real hardware. It supports two battery chemistries, showcasing how the fuzzy system can be flexibly adapted to different rechargeable battery technologies. The fuzzy battery manager successfully achieves its goal of charging and balancing cells with high adaptability by simply adjusting membership functions. Its stability and effectiveness on real hardware have been confirmed. This adaptability offers significant potential across various industries. For example, a replacement battery pack designed for longevity using LiFePO4 cells could serve as an alternative to Li-Ion cells in electric vehicles, especially since LiFePO4 cells endure many more charge cycles, albeit with lower charge densities. The required membership functions for this replacement battery could be stored in just a few bytes of ROM within the battery pack, enabling seamless integration and use with existing vehicles and charging systems.

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Publication Details

Journal
Electronics
Published
2025-04-06
DOI
https://doi.org/10.3390/electronics14071470
Citations
5
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
3.41
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article

Fuzzy Battery Manager: Charging and Balancing Rechargeable Battery Cells with Fuzzy Logic

Adnan Shaout, Zachary Brauchler
5 citations
Electronics
Advanced Battery Technologies Research
3.41
article

Fuzzy Battery Manager: Charging and Balancing Rechargeable Battery Cells with Fuzzy Logic

Adnan Shaout, Zachary Brauchler
article en
5 citations

Abstract

This paper presents the design, implementation, and testing of a fuzzy battery manager featuring a novel hardware design. The system uses a fuzzy inference system to charge and balance two battery cells in series, integrating a microcontroller and a battery charging IC to demonstrate battery management with real hardware. It supports two battery chemistries, showcasing how the fuzzy system can be flexibly adapted to different rechargeable battery technologies. The fuzzy battery manager successfully achieves its goal of charging and balancing cells with high adaptability by simply adjusting membership functions. Its stability and effectiveness on real hardware have been confirmed. This adaptability offers significant potential across various industries. For example, a replacement battery pack designed for longevity using LiFePO4 cells could serve as an alternative to Li-Ion cells in electric vehicles, especially since LiFePO4 cells endure many more charge cycles, albeit with lower charge densities. The required membership functions for this replacement battery could be stored in just a few bytes of ROM within the battery pack, enabling seamless integration and use with existing vehicles and charging systems.

ElectronicsVol. 14(7)
University of Michigan–Dearborn (US)
Openalex Percentile: Top 8%
Advanced Battery Technologies Research
3.41
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