TY - GEN
T1 - Energy Management for Electrified Tracked Vehicles via Improved Soft Actor-Critic Algorithm
AU - Su, Qicong
AU - Huang, Ruchen
AU - Kang, Li
AU - He, Hongwen
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Energy management strategies (EMSs) play a crucial role in determining the power distribution of hybrid electric vehicles (HEVs). Recently, deep reinforcement learning (DRL) has emerged as a prominent approach for developing EMSs. This paper proposes a DRL-based EMS for a series hybrid electric tracked vehicle (SHETV) equipped with an enginegenerator set (EGS) and a battery pack to improve fuel economy. Firstly, an improved soft actor-critic (SAC) algorithm is formulated by integrating the prioritized experience replay (PER) mechanism. Subsequently, an EMS is developed based on the improved SAC algorithm. Then, a comprehensive evaluation is conducted to assess the superiority of proposed EMS. Extensive comparisons reveal that the proposed EMS achieves a 31.82% faster convergence speed and enhances fuel economy by 4.28% compared to the EMS based on the standard SAC algorithm.
AB - Energy management strategies (EMSs) play a crucial role in determining the power distribution of hybrid electric vehicles (HEVs). Recently, deep reinforcement learning (DRL) has emerged as a prominent approach for developing EMSs. This paper proposes a DRL-based EMS for a series hybrid electric tracked vehicle (SHETV) equipped with an enginegenerator set (EGS) and a battery pack to improve fuel economy. Firstly, an improved soft actor-critic (SAC) algorithm is formulated by integrating the prioritized experience replay (PER) mechanism. Subsequently, an EMS is developed based on the improved SAC algorithm. Then, a comprehensive evaluation is conducted to assess the superiority of proposed EMS. Extensive comparisons reveal that the proposed EMS achieves a 31.82% faster convergence speed and enhances fuel economy by 4.28% compared to the EMS based on the standard SAC algorithm.
KW - deep reinforcement learning
KW - energy management
KW - improved soft actor-critic
KW - prioritized experience replay
KW - series hybrid electric tracked vehicle
UR - http://www.scopus.com/inward/record.url?scp=85212876391&partnerID=8YFLogxK
U2 - 10.1109/VPPC63154.2024.10755466
DO - 10.1109/VPPC63154.2024.10755466
M3 - Conference contribution
AN - SCOPUS:85212876391
T3 - 2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 - Proceedings
BT - 2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024
Y2 - 7 October 2024 through 10 October 2024
ER -
