A pseudospectral method for solving optimal control problem of a hybrid tracked vehicle

被引：35
作者：
Wei, Shouyang [1 ]
Zou, Yuan [1 ]
Sun, Fengchun [1 ]
Christopher, Onder [2 ]
机构：
[1] Beijing Inst Technol, Beijing Collaborat Innovat Ctr Elect Vehicle, Natl Engn Lab Elect Vehicles, Sch Mech Engn, Beijing 100081, Peoples R China
[2] ETH, Inst Dynam Syst & Control, Dept Mech & Proc Engn, CH-8092 Zurich, Switzerland
来源：
APPLIED ENERGY | 2017年 / 194卷
关键词：
Optimal control; Radau pseudospectral method; Hybrid electric vehicle; Tracked vehicle; NUMERICAL-SOLUTION; POWER-SPLIT;
D O I：
10.1016/j.apenergy.2016.07.020
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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. It was simplified as a voltage regulator in the hybrid powertrain model. The power demand during the vehicle operation was calculated according to the vehicle dynamics and driving schedules. 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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：588 / 595
页数：8
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