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基于模糊逻辑算法的纯电动客车起步加速能力优化与再生制动控制

Acceleration Performance Optimization and Regenerative Braking Control for Battery Electric Bus Based on Fuzzy Logic Algorithm

  • 摘要: 日益严重的环境问题促使城市交通向着清洁、高效和可持续的方向发展, 同时也促进了新能源交通技术的推广和应用。随着电池和电机驱动技术的发展, 纯电动客车也受到越来越多的关注。起步加速能力和可再生制动是纯电动公交车区别于传统内燃机车的两个方面。由于加速踏板信号响应与驱动电机响应较快, 理论上纯电动客车的加速性能要优于传统内燃机车。再生制动是一种降低能耗、提高续驶里程的重要技术手段。文章基于模糊逻辑算法, 设计了驱动扭矩控制策略对驱动工况下的纯电动客车起步加速能力进行优化。同时, 针对纯电动客车制动工况设计了能量回收策略。结果表明, 驱动扭矩控制策略可使纯电动客车起步加速时间从 19.7 s 减小至 19.25 s, 制动能量回收策略在中国典型城市公交路况下使能量消耗减少 11%。

     

    Abstract: Increasingly serious environmental problems have prompted the city traffic to the clean, efficient and sustainable directions, and have also accelerated the popularization and applications of the new energy transport technology. With the development of the battery and motor drive technology, battery electric buses have drawn extensive concerns. Starting acceleration performance and regenerative braking capability are two advantages of battery electric bus compared to traditional vehicles. Because of quick responses of the accelerator pedal signal and drive motor, the acceleration performance of battery electric bus is superior to the traditional diesel bus theoretically. The regenerative braking is an important technique to save energy consumption and extend the drive range. In this paper, based on the fuzzy logic algorithm, we designed a driving torque control strategy for decreasing the starting acceleration time. Meanwhile, the regenerative braking control strategy is reported. The results show that, the driving torque control strategy can decrease acceleration time and the regenerative braking strategy can save energy consumption by 11% during the Chinese city bus driving cycles.

     

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