Energy Management of Hybrid Electric Tracked Vehicle Based on Off-road Condition Prediction

被引：0

作者：

Xu S. ^{[1
]}

Xi J. ^{[1
]}

Chen H. ^{[1
]}

机构：

[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing

来源：

Binggong Xuebao/Acta Armamentarii | 2019年 / 40卷 / 08期

关键词：

Energy management; Hybrid electric vehicle; Off-road condition prediction; Tracked vehicle;

D O I：

10.3969/j.issn.1000-1093.2019.08.003

中图分类号：

学科分类号：

摘要：

An energy management system based on off-road condition prediction is designed for the energy management of hybrid tracked vehicle in off-road environment. The vehicle speed and attitude are measured by using the vehicular sensor, and the off-road condition is classified based on support vector machine. A speed prediction model based on Markov chain is established using historical driving speed and acceleration for different off-road conditions. A model predictive control strategy based on off-road condition prediction is designed for energy management of hybrid electric tracked vehicle. The simulated results show that the proposed energy management system can be used to achieve the control objectives and improve the performance of hybrid electric tracked vehicles in off-road environment. © 2019, Editorial Board of Acta Armamentarii. All right reserved.

引用

页码：1572 / 1579

页数：7

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