An Analytical Approach to the Predictive Energy Management of Connected HEVs: What Information Do We Need to Guarantee Global Optimality?
Author:
Affiliation:
1. School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
2. Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
Funder
Electronics and Telecommunications Research Institute
Korean Government, Regional Industry ICT Convergence Technology Advancement and Support Project in Daegu-GyeongBuk
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6979/10659279/10508238.pdf?arnumber=10508238
Reference39 articles.
1. Effects analysis of light-duty diesel truck hybrid conversion depending on driving style
2. Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) for the HEVs with a Near-Optimal Equivalent Factor Considering Driving Conditions
3. Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles
4. ECMS as a realization of Pontryagin's minimum principle for HEV control
5. A Comparative Study Of Supervisory Control Strategies for Hybrid Electric Vehicles
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