基于二次型跟踪器的实时能量管理优化策略

Real-time Energy Management Optimization Strategy Based on Quadratic Tracker

为解决当前混合动力汽车能量管理策略不能同时兼顾最优性与实时性的问题,以采用行星式混合动力系统的物流车为研究对象,基于二次型跟踪器理论提出一种可在线实时应用的能量管理优化策略。建立了行星式混合动力系统的线性数学模型,开发了直接节油型二次型跟踪器单自由度优化策略,基于MATLAB/Simulink软件平台进行离线仿真验证,仿真结果表明该策略获得与全局优化算法相近的节油效果。在基于dSPACE/Simulator搭建的硬件在环平台上进行了硬件在环测试,测试结果表明该策略具有良好的实时应用性。

The current energy management strategy of hybrid electric vehicle can t simultaneously consider the optimality and real-time.To deal with it,the logistics vehicle adopting the planetary hybrid electric system was taken as the research object,and an energy management optimization strategy based on the quadratic tracker theory for online real-time application was proposed.The linear mathematical model of the planetary hybrid electric system was established,and the single-degree-of-freedom optimization strategy of the direct fuel-saving quadratic tracker was developed.The offline simulation verification was carried out based on the MATLAB/Simulink software platform.The hardware-in-the-loop test was carried out on the hardware-in-the-loop platform built on dSPACE/Simulator.The simulation results show that the strategy achieves a fuel-saving effect similar to the global optimization algorithm.The test results show that the strategy has good real-time applicability.