Real‐time optimal energy management for a fuel cell/battery hybrid system
Author:
Affiliation:
1. State Key Laboratory of Industrial Control Technology, College of Control Science and EngineeringZhejiang University Hangzhou China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2065
Reference28 articles.
1. Energy Management Fuzzy Logic Supervisory for Electric Vehicle Power Supplies System
2. Light Fuel-Cell Hybrid Electric Vehicles Based on Predictive Controllers
3. H.Allouiet al. Energy management based on frequency decoupling: Experimental results with fuel cell‐electric vehicle emulator 2015 IEEE 81st Vehicular Technology Conference (VTC Spring) Glasgow Scotland (2015) 586–591.
4. Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles
5. Adaptive Control Design for a Class of Uncertain High-Order Nonlinear Systems with Time Delay
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4. Bat-optimized fuzzy controller with fractional order adaptive super-twisting sliding mode control for fuel cell/battery hybrid power system considering fuel cell degradation;Journal of Renewable and Sustainable Energy;2021-07
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