Costate Estimation of PMP-Based Control Strategy for PHEV Using Legendre Pseudospectral Method

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...

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Veröffentlicht in:Mathematical problems in engineering 2016-01, Vol.2016 (2016), p.1-9
Hauptverfasser: Wei, Hanbing, Peng, Zhiyuan, Chen, Yao
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Chen, Yao
description 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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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. 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subjects Approximation
Battery
Driving conditions
Dynamic models
Electric charge
Electric vehicles
Energy management
Mathematical analysis
Mathematical problems
Matlab
Nonlinear control
Nonlinear programming
Optimal control
Simulation
Spectral methods
Strategy
title Costate Estimation of PMP-Based Control Strategy for PHEV Using Legendre Pseudospectral Method
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