TY - GEN
T1 - Comprehensive Eco Driving Framework for Connected Fuel Cell Hybrid Electric Bus in Highway Based on Improved Soft Actor-Critic Algorithm
AU - Zhou, Jiaxuan
AU - He, Hongwen
AU - Shi, Yebo
AU - Chen, Weiqi
AU - Peng, Jiankun
AU - Ma, Chunye
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Leveraging the communication and intelligent control technology, connected fuel cell hybrid electric vehicles (FCHEVs) allow eco-driving to control power distribution and motion, thereby improving driving performance. This study proposes an improved soft actor-critic (SAC) based eco-driving framework in highway scenario for FCEHVs, co-optimize the energy management system (EMS), longitudinal speed planning, and lateral lane change decisions for driving energy efficiency, safety, comfort, durability, and travel efficiency. Additionally, re-attentive experience replay (RAER) is utilized to flexibly re-evaluate the weights of important experiences to accelerate training. Comparative experiments of different algorithms and scenarios manifest optimality and adaptability of the proposed framework.
AB - Leveraging the communication and intelligent control technology, connected fuel cell hybrid electric vehicles (FCHEVs) allow eco-driving to control power distribution and motion, thereby improving driving performance. This study proposes an improved soft actor-critic (SAC) based eco-driving framework in highway scenario for FCEHVs, co-optimize the energy management system (EMS), longitudinal speed planning, and lateral lane change decisions for driving energy efficiency, safety, comfort, durability, and travel efficiency. Additionally, re-attentive experience replay (RAER) is utilized to flexibly re-evaluate the weights of important experiences to accelerate training. Comparative experiments of different algorithms and scenarios manifest optimality and adaptability of the proposed framework.
KW - Connected fuel cell hybrid electric bus
KW - decision-making and planning
KW - eco-driving
KW - re-attentive experience replay
UR - http://www.scopus.com/inward/record.url?scp=85217208246&partnerID=8YFLogxK
U2 - 10.1109/CVCI63518.2024.10830063
DO - 10.1109/CVCI63518.2024.10830063
M3 - Conference contribution
AN - SCOPUS:85217208246
T3 - Proceedings of the 2024 8th CAA International Conference on Vehicular Control and Intelligence, CVCI 2024
BT - Proceedings of the 2024 8th CAA International Conference on Vehicular Control and Intelligence, CVCI 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th CAA International Conference on Vehicular Control and Intelligence, CVCI 2024
Y2 - 25 October 2024 through 27 October 2024
ER -
