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首页> 外文期刊>Journal of Computational Methods in Sciences and Engineering >Torque distribution control of hybrid electric bus with composite power supply based on particle swarm optimization
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Torque distribution control of hybrid electric bus with composite power supply based on particle swarm optimization

机译:基于粒子群优化的复合电源混合电动总线的扭矩分布控制

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摘要

Aiming at a hybrid electric vehicle with compound power supply, firstly a fuzzy control strategy of engine and motor torque distribution is designed by taking the difference between engine target torque and current torque and SOC of storage battery as inputs and the actual output torque coefficient of engine as output. Secondly, the particle swarm optimization (PSO) algorithm is designed to optimize the fuzzy rules, which promotes the method that the traditional fuzzy rules depend on experience, improves the adaptability and robustness of the fuzzy control, and improves the control accuracy. Finally, the research based on the special simulation software ADVISOR of hybrid electric vehicle shows that the optimized fuzzy rules applied to the torque distribution control of hybrid electric vehicle can ensure that the engine works in the high efficiency area and effectively improve the economy of the vehicle on the premise of ensuring the power performance of the vehicle.
机译:针对具有复合电源的混合动力电动车辆,首先通过在发动机目标扭矩和电流扭矩和存储电池的电流扭矩和SOC之间的差异作为输入和发动机的实际输出扭矩系数来设计发动机和电动机扭矩分布的模糊控制策略作为输出。其次,粒子群优化(PSO)算法旨在优化模糊规则,促进传统模糊规则取决于经验的方法,提高了模糊控制的适应性和鲁棒性,提高了控制精度。最后,基于混合动力电动车的特殊仿真软件顾问的研究表明,应用于混合动力电动汽车的扭矩分布控制的优化模糊规则可以确保发动机在高效率区域中工作,有效地改善车辆的经济性在确保车辆功率性能的前提。

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