Energy Management Optimization for a Hybrid Tracked Vehicle Using the Radau Pseudospectral Method
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Date
2016-06
Publication Type
Conference Paper
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Abstract
This study explored the feasibility of using the Radau pseudospectral method (RPM) to optimize the energy management strategy for a hybrid tracked vehicle. The engine–generator set and the battery pack of the serial hybrid tracked vehicle were modeled and validated through the bench test. A DC-DC converter was equipped between the battery pack and the DC bus in this hybrid powertrain, which increased the flexibility of energy distribution between the engine–generator set and the battery. The optimal control problem was formulated to minimize the fuel consumption through regulating the power distribution properly between the engine–generator set and battery pack during a typical driving schedule. The RPM was applied to transform the optimal control problem to a finite-dimensional constrained nonlinear programming problem. A comparison of the solutions from RPM and dynamic programming showed that the former offers the higher computation efficiency and better fuel economy.
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Publication status
published
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Book title
CUE 2015 - Applied Energy Symposium and Summit 2015: Low Carbon Cities and Urban Energy Systems
Journal / series
Volume
88
Pages / Article No.
957 - 963
Publisher
Elsevier
Event
Applied Energy Symposium and Summit 2015: Low Carbon Cities and Urban Energy Systems (CUE 2015)
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Methods
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Date created
Subject
Optimal control; Radau pseudospectral method; Hybrid electric vehicle; Tracked vehicle