混联式混合动力客车整车控制系统的开发

Development of the Hybrid Control Unit for a Series-parallel Hybrid Electric Bus

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。

A MPC5554-based hybrid control unit （HCU） is developed for a series-parallel hybrid electric bus （SPHEB） in this paper. Firstly considering the operation features and powertrain configuration of SPHEB with minimizing fuel consumption as objective, a real-time optimal energy management strategy （EMS） based on iterative dynamic programming global optimization algorithm and Elman dynamic neural network is proposed. Then according to the vehicle requirements and EMS, the hardware system of HCU is designed with MPC5554 as CPU. Finally HCU hardware-in-the-loop simulation test is conducted with ETAS t^F-LABCAR as platform. The results demonstrate that the developed HCU operates stable and reliable and can effectively realize real-time control for the SPHEB, significantly improving the fuel economy of the vehicle.