TY - GEN
T1 - A Data-Driven Energy Management Strategy for Series Hybrid Electric Tracked Vehicle Based on Power Coordinated Control
AU - Su, Qicong
AU - Huang, Ruchen
AU - He, Hongwen
AU - Han, Xuefeng
AU - Niu, Zegong
AU - Zhou, Zhiqiang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The power distribution and fuel economy of hybrid electric vehicles are greatly influenced by energy management strategies (EMSs). In this paper, a series hybrid electric tracked vehicle (SHETV) with an independent dual-side drive and a full-wave rectification is served as the research object. The EMS based on dynamic programming (DP) is first constructed to be used as the global optimal benchmark. Then, a data-driven EMS based on power coordinated control and extracting the global optimal control rules of the DP-based EMS is developed by designing the multi-layer perceptron (MLP) neural network, a filter, and a state of charge (SOC) stabilizer to predict the appropriate power distribution, ensuring that the SOC can be maintained around the initial value and the engine power output can be smoothed. Simulation results indicate that the fuel economy of the proposed EMS is improved by 10.14% compared with the strategy without extracting the global optimal control rules and reaches 89.20% of the DP-based EMS.
AB - The power distribution and fuel economy of hybrid electric vehicles are greatly influenced by energy management strategies (EMSs). In this paper, a series hybrid electric tracked vehicle (SHETV) with an independent dual-side drive and a full-wave rectification is served as the research object. The EMS based on dynamic programming (DP) is first constructed to be used as the global optimal benchmark. Then, a data-driven EMS based on power coordinated control and extracting the global optimal control rules of the DP-based EMS is developed by designing the multi-layer perceptron (MLP) neural network, a filter, and a state of charge (SOC) stabilizer to predict the appropriate power distribution, ensuring that the SOC can be maintained around the initial value and the engine power output can be smoothed. Simulation results indicate that the fuel economy of the proposed EMS is improved by 10.14% compared with the strategy without extracting the global optimal control rules and reaches 89.20% of the DP-based EMS.
KW - control-rules extraction
KW - dynamic programming
KW - energy management
KW - power coordinated control
KW - series hybrid electric tracked vehicle
UR - http://www.scopus.com/inward/record.url?scp=85185346232&partnerID=8YFLogxK
U2 - 10.1109/VPPC60535.2023.10403212
DO - 10.1109/VPPC60535.2023.10403212
M3 - Conference contribution
AN - SCOPUS:85185346232
T3 - 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings
BT - 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Y2 - 24 October 2023 through 27 October 2023
ER -
