The invention aims to provide a particle algorithm-optimized composite power supply electric vehicle power distribution strategy. According to the technical schemes, after a vehicle control model is established according to a vehicle-mounted composite power supply control system, required power is divided into different frequency bands; the required power is borne by different energy types according to the different frequency bands; and a particle algorithm is used for optimizing a distribution strategy, so that an optimal control strategy of multi-energy power distribution can be obtained. Onthe premise that the load requirement of a whole vehicle is met, a fuel cell is better protected, and the advantages of three kinds of energy are brought into full play; in addition, a self-adaptivefilter is adopted to replace traditional constant-value filtering, so that the role of a super capacitor in rapidly providing instantaneous high power is better played, and the charging and discharging process of the super capacitor is protected; a fuzzy controller in the control strategy is subjected to parameter optimization by adopting the particle swarm algorithm, so that the control effect inthe aspects of reducing the power fluctuation of the fuel cell and reducing the hydrogen consumption of the fuel cell is better.
本发明的目的是提供一种运用粒子算法优化的复合电源电动汽车功率分配策略,其技术方案在于,根据车载复合电源控制系统建立整车控制模型后,将需求功率分为不同的频率段,然后根据不同的频率段由不同的能源类型进行承担,最后,使用粒子算法对改分配策略进行优化,以获得多能量功率分配的最优控制策略。本发明在满足整车负载需求的前提下,更好的保护了燃料电池并充分发挥三个能量的优势;并且本发明采用自适应滤波器代替传统的定值滤波,更好的发挥了超级电容在快速提供瞬时大功率的作用并对其充放电过程加以保护;同时,本发明采用粒子群算法对控制策略中的模糊控制器进行了参数优化,在降低燃料电池功率波动和减小氢气消耗方面控制效果更好。
Particle algorithm-optimized composite power supply electric vehicle power distribution strategy
一种运用粒子算法优化的复合电源电动汽车功率分配策略
2020-07-28
Patent
Elektronische Ressource
Chinesisch
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