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February 5, 2026World Electric Vehicle JournalOpen Access

Particle Swarm Optimization and Fuzzy Logic Co-Optimization for Energy Efficiency Cooperative Energy Management Strategy of Hybrid Energy Storage Electric Vehicles

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Authors

NLNing LiZHZhongyuan HuangCWChaopeng Wang

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Overview

Optimal energy management demonstrates improved braking efficiency in hybrid energy storage vehicles, indicating better performance.

Key Points

  • This research aims to enhance energy management in hybrid storage systems through optimal power allocation.
  • Developed a zonal braking force distribution strategy based on multiple curves.
  • Constructed a fuzzy logic control strategy for driving and braking efficiency.
  • Optimized fuzzy controller parameters using particle swarm optimization algorithm.
  • Performed simulation validation under NEDC conditions.
  • Achieved a 10.32% improvement in braking energy recovery efficiency.
  • Reduced energy consumption by 0.96 kWh per 100 km.
  • Decreased peak current of the power battery by 6.4%.

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69843405f1d9ada3c1fb1a2dhttps://doi.org/10.3390/wevj17020073
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