Energy management strategies based on optimal control theory can achieve minimum fuel consumption for hybrid electric vehicles, but the requirement for driving cycles known in prior leads to a real-time problem. A rea...Energy management strategies based on optimal control theory can achieve minimum fuel consumption for hybrid electric vehicles, but the requirement for driving cycles known in prior leads to a real-time problem. A real-time optimization power-split strategy is proposed based on linear quadratic optimal control. The battery state of charge sustainability and fuel economy are ensured by designing a quadratic performance index combined with two rules. The engine power and motor power of this strategy are calculated in real-time based on current system state and command, and not related to future driving conditions. The simulation results in ADVISOR demonstrate that, under the conditions of various driving cycles, road slopes and vehicle parameters, the proposed strategy significantly improves fuel economy, which is very close to that of the optimal control based on Pontryagin's minimum principle, and greatly reduces computation complexity.展开更多
侧向风对汽车行驶操纵稳定性有重要影响.通过分析侧向风干扰下车辆稳定性,提出基于主动前轮转向(active front wheel steering,AFS)的控制策略.AFS控制器采用线性二次型最优控制算法,以实现横摆角速度和质心侧偏角目标值跟踪.为了评价...侧向风对汽车行驶操纵稳定性有重要影响.通过分析侧向风干扰下车辆稳定性,提出基于主动前轮转向(active front wheel steering,AFS)的控制策略.AFS控制器采用线性二次型最优控制算法,以实现横摆角速度和质心侧偏角目标值跟踪.为了评价控制算法,基于MATLAB/Simulink和CarSim协同仿真环境建立整车动力学模型、单点预瞄驾驶员模型、控制器模型、道路和侧向风模型.仿真结果表明,AFS可有效提高车辆在侧向风干扰下的操纵稳定性,且控制算法对车速和路面附着系数具有良好的鲁棒性.展开更多
文摘Energy management strategies based on optimal control theory can achieve minimum fuel consumption for hybrid electric vehicles, but the requirement for driving cycles known in prior leads to a real-time problem. A real-time optimization power-split strategy is proposed based on linear quadratic optimal control. The battery state of charge sustainability and fuel economy are ensured by designing a quadratic performance index combined with two rules. The engine power and motor power of this strategy are calculated in real-time based on current system state and command, and not related to future driving conditions. The simulation results in ADVISOR demonstrate that, under the conditions of various driving cycles, road slopes and vehicle parameters, the proposed strategy significantly improves fuel economy, which is very close to that of the optimal control based on Pontryagin's minimum principle, and greatly reduces computation complexity.
文摘侧向风对汽车行驶操纵稳定性有重要影响.通过分析侧向风干扰下车辆稳定性,提出基于主动前轮转向(active front wheel steering,AFS)的控制策略.AFS控制器采用线性二次型最优控制算法,以实现横摆角速度和质心侧偏角目标值跟踪.为了评价控制算法,基于MATLAB/Simulink和CarSim协同仿真环境建立整车动力学模型、单点预瞄驾驶员模型、控制器模型、道路和侧向风模型.仿真结果表明,AFS可有效提高车辆在侧向风干扰下的操纵稳定性,且控制算法对车速和路面附着系数具有良好的鲁棒性.