The invention relates to the field of hybrid electric vehicles, and discloses a hybrid electric vehicle regenerative braking control method optimized by a particle swarm optimization algorithm, which mainly comprises three parts of front and rear wheel braking force distribution, fuzzy controller design and fuzzy rule optimization by the particle swarm optimization algorithm. Firstly, front and rear wheel braking force distribution is achieved through a front and rear wheel braking force distribution curve; then distribution of front wheel mechanical braking force and regenerative braking force is achieved through a fuzzy controller; and finally, the braking effect and braking energy recovery serve as optimization objective functions, the fuzzy rule is optimized through the particle swarm optimization, and the optimized fuzzy rule is applied to regenerative braking control of the hybrid electric vehicle. According to the method, the fuzzy rule design difficulty is reduced, the energy recovered by braking is improved under the condition that the braking effect is met, and energy conservation and emission reduction of the hybrid electric vehicle are facilitated.
本发明涉及混合动力汽车领域,且公开了一种粒子群算法优化的混合动力汽车再生制动控制方法,主要包括前后轮制动力分配、设计模糊控制器和粒子群算法优化模糊规则三个部分。首先利用前后轮制动力分配曲线实现前、后轮制动力的分配;然后通过模糊控制器实现前轮机械制动力和再生制动力的分配;最后以制动效果和制动能量回收为优化目标函数,利用粒子群算法优化模糊规则,并将优化后的模糊规则应用到混合动力汽车再生制动控制中。本发明降低了模糊规则设计难度,在满足制动效果下提高了制动回收的能量,有利于混合动力汽车的节能减排。
Hybrid electric vehicle regenerative braking control method optimized by particle swarm optimization
一种粒子群算法优化的混合动力汽车再生制动控制方法
2023-02-03
Patent
Elektronische Ressource
Chinesisch
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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