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Simultaneous Optimization Of Supervisory Control And Gear Shift Logic For A Parallel Hydraulic Hybrid Refuse Truck Using Stochastic Dynamic Programming

机译:基于随机动态规划的并联液压混合动力垃圾车监控与变速逻辑的同步优化

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摘要

The power management controller of a hybrid vehicle orchestrates the operation of onboard energy sources, namely engine and auxiliary power source with the goal of maximizing performance objectives such as the fuel economy. The paper focuses on optimization of the power management strategy of the refuse truck with parallel hydraulic hybrid powertrain. The high power density of hydraulic components and high charging/discharging efficiency of accumulator with no power constraint make hydraulic hybrid an excellent choice for heavy-duty stop and go application. Two power management strategies for a parallel hydraulic hybrid refuse truck are compared; heuristic and stochastic dynamic programming based optimal controller. For designing a SDP based controller, an infinite horizon problem is setup with power demand from driver modeled as random Markov process. The objective is to maximize system level efficiency by optimizing (i) the power split between engine and hydraulic propulsion unit, and (ii) gear shift schedule. This combines the optimization of powertrain parameters with power management design.
机译:混合动力车辆的动力管理控制器以最大程度地提高性能目标(例如燃料经济性)为目标,协调车载能源(即发动机和辅助动力源)的运行。本文着重于优化并联液压混合动力总成垃圾车的动力管理策略。液压元件的高功率密度和蓄能器的高充放电效率(无动力约束)使液压混合动力车成为重型停停行驶应用的绝佳选择。比较了并联液压混合动力垃圾车的两种动力管理策略;基于启发式和随机动态规划的最优控制器。为了设计基于SDP的控制器,需要设置无限视界问题,并将驱动器的功率需求建模为随机马尔可夫过程。目的是通过优化(i)发动机和液压推进单元之间的动力分配,以及(ii)换档计划来最大化系统级效率。这将动力总成参数的优化与功率管理设计结合在一起。

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