基于电池寿命预测控制的履带车辆能量管理

Translated title of the contribution: Energy Management of Tracked Vehicles Based on Battery Life Prediction Control
  • Lijin Han
  • , Hui Liu*
  • , Cong Liu
  • , Baoshuai Liu
  • , Cong Zhang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In order to improve the fuel economy and power performance of series hybrid tracked vehicles in complex driving environment, an energy management strategy based on nonlinear model predictive control (NMPC) considering the influence of battery life is proposed in this paper. Firstly, considering the influence of different output power on the battery temperature, the second-order RC model, thermoelectric coupling model and life model of the battery are established. Then, based on the second-order RC model of the battery, the prediction model is established to describe the future dynamics of the vehicle front power chain. At the same time, considering the influence of the battery life, an energy management strategy based on the nonlinear model predictive control is designed. A calculation method of conversion factor between power consumption and fuel consumption is proposed to make the conversion factor adaptive to different driving conditions and energy management strategies of the vehicle. Finally, the simulation and hardware in-loop test platform are built to verify the effectiveness of the proposed energy management strategy under three typical working conditions.

Translated title of the contributionEnergy Management of Tracked Vehicles Based on Battery Life Prediction Control
Original languageChinese (Traditional)
Pages (from-to)657-666
Number of pages10
JournalQiche Gongcheng/Automotive Engineering
Volume43
Issue number5
DOIs
Publication statusPublished - 25 May 2021

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