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

doi:10.3969/j.issn.1000-1093.2019.08.003

Abstract

Abstract: 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. Key

Key words: trackedvehicle, hybridelectricvehicle, off-roadconditionprediction, energymanagement

CLC Number:

TJ810.2

XU Shaohang, XI Junqiang, CHEN Huiyan. Energy Management of Hybrid Electric Tracked Vehicle Based on Off-road Condition Prediction[J]. Acta Armamentarii, 2019, 40(8): 1572-1579.

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第40卷
第8期2019 年8月兵工学报ACTA
ARMAMENTARIIVol.40No.8Aug.2019

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