Design of an Integrated Power Electronics and Control System for Optimized Regenerative Braking to Mitigate Battery Degradation in Electric Vehicles

Regenerative braking enhances energy efficiency in electric vehicles (EVs) but can accelerate battery degradation. This study evaluates fuzzy logic, adaptive PID, and hybrid Fuzzy-PID control systems for mitigating battery degradation in regenerative braking. Field experiments revealed that fuzzy logic achieved superior performance, reducing charging cycles and limiting temperature increases, thereby minimizing battery degradation. In contrast, adaptive PID and hybrid Fuzzy-PID generated unstable currents and increased charging cycles, despite lowering battery temperature. These results demonstrate the effectiveness of fuzzy logic in optimizing regenerative braking and extending battery lifespan.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/ceeis65979.2025.00016
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Design of an Integrated Power Electronics and Control System for Optimized Regenerative Braking to Mitigate Battery Degradation in Electric Vehicles

Basuki Rahmat, Angga Rusdinar, Rinaldi Pradhana Widhianto, Bintang Kriesna Nugraha
Advanced Battery Technologies Research
article

Design of an Integrated Power Electronics and Control System for Optimized Regenerative Braking to Mitigate Battery Degradation in Electric Vehicles

Basuki Rahmat, Angga Rusdinar, Rinaldi Pradhana Widhianto, Bintang Kriesna Nugraha
article en

Abstract

Regenerative braking enhances energy efficiency in electric vehicles (EVs) but can accelerate battery degradation. This study evaluates fuzzy logic, adaptive PID, and hybrid Fuzzy-PID control systems for mitigating battery degradation in regenerative braking. Field experiments revealed that fuzzy logic achieved superior performance, reducing charging cycles and limiting temperature increases, thereby minimizing battery degradation. In contrast, adaptive PID and hybrid Fuzzy-PID generated unstable currents and increased charging cycles, despite lowering battery temperature. These results demonstrate the effectiveness of fuzzy logic in optimizing regenerative braking and extending battery lifespan.

Telkom University (ID)
Affordable and clean energy
Openalex Percentile: Top 86%
Advanced Battery Technologies Research
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Design of an Integrated Power Electronics and Control System for Optimized Regenerative Braking to Mitigate Battery Degradation in Electric Vehicles — Basuki Rahmat, Angga Rusdinar, et al. · (2025) | TGRS Research Map | TGRS