TY - GEN
T1 - Study on MPC-based Energy Management for a Series Tracked Vehicle
AU - Wei, Chao
AU - Wu, Xitao
AU - Liu, Sicheng
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - To improve the energy usage ratio of a series tracked vehicle, energy management control strategy based on model predictive control (MPC) was proposed. A nonlinear prediction model is established, and the cost function based on the equivalent fuel consumption model of the battery is used as the evaluation index, the dynamic programming (DP) algorithm is used to implement the rolling optimization solution in the prediction time domain which complete the real-time power allocation. Compared with rule-based control strategy, MPC can achieve a 4.1% better economy performance and more balanced state of charge (SOC).
AB - To improve the energy usage ratio of a series tracked vehicle, energy management control strategy based on model predictive control (MPC) was proposed. A nonlinear prediction model is established, and the cost function based on the equivalent fuel consumption model of the battery is used as the evaluation index, the dynamic programming (DP) algorithm is used to implement the rolling optimization solution in the prediction time domain which complete the real-time power allocation. Compared with rule-based control strategy, MPC can achieve a 4.1% better economy performance and more balanced state of charge (SOC).
KW - dynamic programming
KW - model predictive control
KW - power distribution
KW - series hybrid vehicle
UR - http://www.scopus.com/inward/record.url?scp=85070603159&partnerID=8YFLogxK
U2 - 10.1109/ISIE.2019.8781404
DO - 10.1109/ISIE.2019.8781404
M3 - Conference contribution
AN - SCOPUS:85070603159
T3 - IEEE International Symposium on Industrial Electronics
SP - 1898
EP - 1902
BT - Proceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Y2 - 12 June 2019 through 14 June 2019
ER -