A Review of Co-optimization of Speed Planning and Energy Management for Fuel Cell Electric Vehicles
Author:
Affiliation:
1. School of Automation, Northwestern Polytechnical University,Xi'an,China
2. Xinxiang Aviation Industry Group Co., Ltd,Xin Xiang,China
3. Chang'An University,Xi'an Smart Expressway Information Fusion and Control Key Laboratory,Xi'an,China
Funder
Natural Science Basic Research Program of Shaanxi Province
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9993810/9993811/09993964.pdf?arnumber=9993964
Reference37 articles.
1. Energy optimization of multi-mode coupling drive plug-in hybrid electric vehicles based on speed prediction
2. Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations
3. Enhancing fuel cell durability for fuel cell plug-in hybrid electric vehicles through strategic power management
4. Tackling single-occupancy vehicles to reduce carbon emissions: Actionable model of drivers’ implementation intention to try public buses
5. Eco-driving for transit: An effective strategy to conserve fuel and emissions
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1. Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles;Applied Energy;2024-11
2. Co-optimization of speed planning and cost-optimal energy management for fuel cell trucks under vehicle-following scenarios;Energy Conversion and Management;2024-01
3. Influence of lubricating oil circulation characteristics on the performance of electric vehicle heat pump system under low temperature conditions;Applied Thermal Engineering;2024-01
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