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 contribution | Energy Management of Tracked Vehicles Based on Battery Life Prediction Control |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 657-666 |
| Number of pages | 10 |
| Journal | Qiche Gongcheng/Automotive Engineering |
| Volume | 43 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 25 May 2021 |