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Author

Yu-Shan Li

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Sep 2026

High-Accuracy Freight Vehicle Highway Driving Cycle Construction Based on Improved Elitist Genetic Algorithm

To enable the precise evaluation of vehicle energy consumption and emissions under highway driving conditions, and to address the limitations of conventional methods, such as insufficient accuracy and low convergence efficiency, this study proposes a high-precision freight vehicle driving cycle development method based...

Yu-Shan Li, Xiao-Chen Sun, Fan-Yu Meng et al. · 0 citations
Jul 2026

A deep reinforcement learning framework for hybrid electric vehicle energy management: Integrating real-world data augmentation and multi-scale perception

A fresh enhanced training set covering all-round driving cycles based on real driving data is constructed, thus breaking through the training restrictions brought by standard driving cycles, and improves fuel economy by 5.2% on average across various driving cycles compared to adaptive ECMS (AECMS).

Yushan Li, Lianbo Zhao, Fanyu Meng et al. · 0 citations

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