Costate Estimation of PMP-Based Control Strategy for PHEV Using Legendre Pseudospectral Method
Costate Estimation of PMP-Based Control Strategy for PHEV Using Legendre Pseudospectral Method
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基于勒让德伪谱方法的基于 PMP 的 PHEV 控制策略的成本估计
DOI：
10.1155/2016/9019450
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发表时间：
2016-03
影响因子：
--
通讯作者：
Peng, Zhiyuan
中科院分区：
文献类型：
--
作者：
Wei, Hanbing;Chen, Yao;Peng, Zhiyuan
在基于PMP的PHEV控制策略的应用中，共状态值起着重要的作用。电池在目的地的终端SOC和相应的等效油耗是关键。然而，在真实的驾驶条件下，不便于选择近似的协态。本文将基于PMP的PHEV最优控制问题转化为非线性规划问题。借助于KKT条件，可将中态近似为NLP的KKT乘子除以LGL权。在此基础上，提出了一种通用的预给定驾驶条件下的协态估计方法。为了验证该方法的有效性，在Matlab/Simulink中建立了动态模型。仿真结果表明，该方法比定常初始协状态值更接近全局最优值。该方法可用于PHEV基于PMP控制策略的初始协态和跳变条件估计。
Costate value plays a significant role in the application of PMP-based control strategy for PHEV. It is critical for terminal SOC of battery at destination and corresponding equivalent fuel consumption. However, it is not convenient to choose the approximate costate in real driving condition. In the paper, the optimal control problem of PHEV based on PMP has been converted to nonlinear programming problem. By means of KKT condition costate can be approximated as KKT multipliers of NLP divided by the LGL weights. A kind of general costate estimation approach is proposed for predefined driving condition in this way. Dynamic model has been established in Matlab/Simulink in order to prove the effectiveness of the method. Simulation results demonstrate that the method presented in the paper can deduce the closer value of global optimal value than constant initial costate value. This approach can be used for initial costate and jump condition estimation of PMP-based control strategy for PHEV.
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影响因子：
6.8
作者：
S. Delprat;J. Lauber;T. Guerra;J. Rimaux
通讯作者：
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影响因子：
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DOI：
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发表时间：
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期刊：
2009 American Control Conference
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通讯作者：
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DOI：
10.3166/ejc.11.509-524
发表时间：
2005-12
期刊：
Proceedings of the 44th IEEE Conference on Decision and Control
影响因子：
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作者：
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通讯作者：
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