基于猴群算法的混合动力汽车能量管理策略

混合动力汽车通常由两种不同的动力源驱动，对于驾驶员需求，如何分配动力源的输出，使得整个循环的耗油量达到最小是混合动力系统控制表示法需要解决的问题。实际汽车中各部件模型是非线性的，而且受到约束，结合猴群算法理论，提出了基于猴群算法的能量管理策略。对505及NEDC等标准工况进行了仿真，结果表明，猴群算法用很小的猴群就可以很快收敛到全局最优解，寻优能力强，可以实现低油耗。

Study on energy management strategy of hybrid electric vehicle based on monkey algorithm

Hybrid Electric Vehicles（HEV） are usually powered by two different energy sources. It is important to split the instantaneous power between the two energy sources in order to minimize fuel consumption, while the vehicle performs a given driving cycle. Mathematical models of vehicle are nonlinear and under restraint in practice, in combination with theory of Monkey Algorithm（MA）, energy management strategy based on MA is presented. Simulation results demonstrate that MA has a good global search capability and can get the optimum solution quickly with small population size. Thus it can realize low fuel consumption.