基于粒子群算法的FC-HEV能耗优化

Intissar Darwich, Islem Lachhab, L. Krichen
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摘要

为了提高燃料电池/超级电容器汽车的精度和稳定性,本文提出了一种智能控制方法。该方法的原理是基于粒子群算法来控制直流链路电压和车速的在线和离线PI调节器参数。通过对两种方法的比较,验证了两种方法在油耗优化中的效果。将新欧洲驾驶循环(NEDC)应用于FC-HEV数学模型,仿真结果表明,PSO优化的基于误差的在线自调节PI控制器在直流链路电压和车速稳定方面比离线方法更有效。最后,将设定值与实际值的在线误差最小化,使氢耗提高了50%。
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Optimized Energy Consumption for FC-HEV Based on PSO Algorithm
In order to improve the accuracy and the stability of the fuel cell/ ultra capacitor vehicle, an intelligent control is proposed in this paper. The method's principles are based on PSO approach to control off and on line PI regulators parameters of DC link voltage and vehicle speed. Both methods are compared to prove their effect in fuel consumption optimization. According to the New European Driving Cycle (NEDC) applied to mathematical FC-HEV model, simulation results show that on line self-regulated PI controller based on error optimized by PSO is more effective in terms of stabilization in DC link voltage and vehicle speed than off line method. Last, minimizing on line the error of the setting value and the actual value had traduced an improvement of 50% in hydrogen consumption.
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