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.
Comprehensive Eco Driving Framework for Connected Fuel Cell Hybrid Electric Bus in Highway Based on Improved Soft Actor-Critic Algorithm
25.10.2024
1519288 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch