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本文中为某型混联式混合动力客车开发了基于MPC5554的整车控制系统(HCU)。首先,根据混合动力客车的运行特点和动力总成结构,以最小燃油消耗为目标,提出了基于迭代动态规划全局优化算法和Elman动态神经网络的实时优化能量管理策略;接着根据整车需求和能量管理策略,以MPC5554作为CPU,完成了HCU的硬件系统设计;最后以ETAS PT-LABCAR为平台,进行了HCU硬件在环仿真试验。结果表明,所开发的HCU运行稳定、可靠,且能有效实现混合动力客车的实时控制,显著提高了整车燃油经济性。
In this paper, a hybrid control system (HCU) based on the MPC5554 has been developed for a hybrid hybrid bus. First of all, according to the operation characteristics of powertrain and the structure of powertrain, aiming at the minimum fuel consumption, a real-time optimal energy management strategy based on global optimization algorithm of iterative dynamic programming and Elman dynamic neural network is proposed. According to the requirement of vehicle and energy Management strategy to MPC5554 as a CPU, completed the HCU hardware system design; Finally, ETAS PT-LABCAR as a platform for HCU hardware-in-the-loop simulation. The results show that the developed HCU runs stably and reliably, and can effectively realize the real-time control of the hybrid bus and significantly improve the fuel economy of the vehicle.