Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicles
Author:
Affiliation:
1. University of Kyungpook National,Mechanical Engineering,Buk-gu, Daegu,Republic of Korea,41566
2. Hyundai Motor Company,Namyang-eup, Hwaseong-si,Republic of Korea,18278
Funder
National Research Foundation of Korea (NRF)
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10644130/10644150/10644283.pdf?arnumber=10644283
Reference18 articles.
1. Stochastic MPC With Learning for Driver-Predictive Vehicle Control and its Application to HEV Energy Management
2. Dynamic programming technique in hybrid electric vehicle optimization
3. Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle
4. Energy-Efficient Driving in Connected Corridors via Minimum Principle Control: Vehicle-in-the-Loop Experimental Verification in Mixed Fleets
5. A Robust MPC Algorithm for Offset-Free Tracking of Constant Reference Signals
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