基于模糊规则算法的超级电容辅助混合动力汽车动力总成及功率选择

Brayden Noh
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引用次数: 0

摘要

重型电动汽车由于负载的频繁变化,其功率需求也在不断变化。提出了一种应用于超级电容器辅助电动汽车加速策略的模糊逻辑算法,该算法根据车辆的功率需求选择合适的电源。该算法可以根据峰值电流和电流斜率,在车辆初始加速过程中,在200毫秒内确定超级电容器截止相位。该系统通过限制瞬态功率来降低电池压力,提高混合动力系统的使用寿命和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supercapacitor Assisted Hybrid Electric Vehicle Powertrain and Power Selection using Fuzzy Rule-Based Algorithm
Heavy electric vehicles vary their power demands due to frequently varying loads. The paper proposes an applied fuzzy logic algorithm for the acceleration strategy of supercapacitor assisted electric vehicles, which selects the appropriate power source based on the vehicle power demand. The algorithm can determine the supercapacitor cutoff phase within 200 milliseconds with the developed test vehicle system during the initial vehicle acceleration based on the peak current and current slope. The system reduces battery stress by limiting transient power, improving the hybrid powertrain's longevity and efficiency.
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