Reward Function Design for Reinforcement Learning based Energy Management Strategy for a Fuel Cell/Supercapacitor Hybrid Electric Vehicle
Author:
Affiliation:
1. ESTACA,ESTACA'Lab - Paris-Saclay,France,F-78180
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10553373/10553653/10554034.pdf?arnumber=10554034
Reference16 articles.
1. Energy Management Strategy Based on Reinforcement Learning for Fuel Cell Hybrid Vehicle with A New Reward Function Approach
2. A review of supercapacitor modeling, estimation, and applications: A control/management perspective
3. Health-Conscious Energy Management for Fuel Cell Hybrid Electric Vehicles Based on Prognostics-Enabled Decision-Making
4. Dynamic programming technique for optimizing fuel cell hybrid vehicles
5. Model predictive control energy management strategy integrating long short-term memory and dynamic programming for fuel cell vehicles
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