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Optimal Power Management for a Hydraulic Hybrid Delivery Truck

机译:液压混合动力货车的最佳动力管理

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Hydraulic hybrid propulsion and energy storage components demonstrate characteristics that are very different from their electric counterparts, thus requiring unique control strategies. This paper presents a methodology for developing a power management strategy tailored specifically to a parallel Hydraulic Hybrid Vehicle (HHV) configured for a medium-size delivery truck. The Hydraulic Hybrid Vehicle is modeled in the MATLAB/SIMULINK environment to facilitate system integration and control studies. A Dynamic Programming (DP) algorithm is used to obtain optimal control actions for gear shifting and power splitting between the engine and the hydraulic motor over a representative urban driving schedule. Features of optimal control signal trajectories are then studied to derive implementable rules. System behaviour demonstrates that the new control strategy takes advantage of high power density and efficiency characteristics of hydraulic components, and minimizes disadvantages of low energy density, to achieve enhanced overall efficiency. Simulation results indicate that the potential for fuel economy improvement of delivery tracks with hydraulic hybrid propulsion can be as high as 47%.
机译:液压混合动力和能量存储组件的特性与电动组件非常不同,因此需要独特的控制策略。本文提出了一种方法,用于开发专门针对配置用于中型送货卡车的并行液压混合动力车(HHV)量身定制的电源管理策略。液压混合动力车辆在MATLAB / SIMULINK环境中建模,以促进系统集成和控制研究。动态编程(DP)算法用于获得最佳的控制动作,以便在有代表性的城市驾驶计划中对发动机和液压马达之间的换档和动力分配进行控制。然后研究最优控制信号轨迹的特征,以得出可实施的规则。系统行为表明,新的控制策略利用了液压组件的高功率密度和效率特性,并最大限度地降低了低能量密度的缺点,从而提高了整体效率。仿真结果表明,采用液压混合动力推进的油路改善燃油经济性的潜力可高达47%。

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