Contrôle optimal d’échauffement du moteur dans les véhicules hybrides

van V Vital Reeven, Theo Hofman, F. Willems, Rgm Rudolf Huisman, M. Steinbuch
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引用次数: 30

Abstract

An Internal Combustion Engine (ICE) under cold conditions experiences increased friction losses due to a high viscosity of the lubricant. With the additional control freedom present in hybrid electric vehicles, the losses during warmup can be minimized and fuel can be saved.In this paper, firstly, a control-oriented model of the ICE, describing the warmup behavior, is developed and validated on measured vehicle data. Secondly, the two-state, non-autonomous fuel optimization, for a parallel hybrid electric vehicle with stop-start functionality, is solved using optimal control theory. The principal behavior of the Lagrange multipliers is explicitly derived, including the discontinuities (jumps) that are caused by the constraints on the lubricant temperature and the energy in the battery system. The minimization of the Hamiltonian for this two-state problem is also explicitly solved, resulting in a computationally efficient algorithm. The optimal controller shows the fuel benefit, as a function of the initial temperature, for a long-haul truck simulated on the FTP-75.
混合动力汽车的最佳发动机热控制
由于润滑油的高粘度,内燃机(ICE)在寒冷条件下的摩擦损失会增加。由于混合动力电动汽车具有额外的控制自由度,因此可以将预热期间的损失降至最低,并节省燃料。在本文中,首先建立了一种描述预热行为的面向控制的内燃机模型,并在实测车辆数据上进行了验证。其次,利用最优控制理论求解了具有启停功能的并联混合动力汽车的两状态非自主燃油优化问题。明确地推导了拉格朗日乘法器的主要行为,包括由电池系统中润滑剂温度和能量约束引起的不连续(跳变)。对该两态问题的最小哈密顿量也进行了显式求解,得到了计算效率高的算法。最优控制器显示了在FTP-75上模拟的长途卡车的燃油效益,作为初始温度的函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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