Eco-Driving Optimization of Hybrid Electric Vehicle based on OSQP and Model Predictive Control under Dynamic Traffic Scenario
Author:
Affiliation:
1. Tongji University Caoan Road 4800,School of Automotive Studies,Shanghai City,China
2. Tongji University Caoan Road 4800,School of Electronic and Information Engineering,Shanghai City,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10215380/10215516/10216261.pdf?arnumber=10216261
Reference13 articles.
1. Comparative analysis of state of charge based adaptive supervisory control strategies of plug-in Hybrid Electric Vehicles
2. Driving conditions-driven energy management strategies for hybrid electric vehicles: A review
3. Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning
4. Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors
5. A survey on driving prediction techniques for predictive energy management of plug-in hybrid electric vehicles
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1. An energy management strategy for fuel cell hybrid electric vehicle based on a real-time model predictive control and pontryagin’s maximum principle;International Journal of Green Energy;2024-03-10
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