Intelligent approach for parallel HEV control strategy based on driving cycles
Author:
Affiliation:
1. a Systems Simulation and Control Laboratory , Mechanical Engineering Department, Iran University of Science and Technology , Narmak, Tehran , Iran
Publisher
Informa UK Limited
Subject
Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207720902957228
Reference11 articles.
1. Optimization of fuzzy partitions for inductive reasoning using genetic algorithms
2. Mechatronic design and control of hybrid electric vehicles
3. Control of a Parallel Hybrid Powertrain: Optimal Control
4. Torque control strategy for a parallel-hybrid vehicle using fuzzy logic
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1. A dynamic programming approach for energy management in hybrid electric vehicles under uncertain driving conditions;International Journal of Systems Science;2024-01-23
2. An adaptive prediction method based on data stream mining for future driving cycle of vehicle;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2020-11-23
3. Fuzzy‐based blended control for the energy management of a parallel plug‐in hybrid electric vehicle;IET Intelligent Transport Systems;2015-02
4. Designing an intelligent control strategy for hybrid powertrains utilizing a fuzzy driving cycle identification agent;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2014-11-05
5. Shifting Control Algorithm for a Single-Axle Parallel Plug-In Hybrid Electric Bus Equipped with EMT;Discrete Dynamics in Nature and Society;2014
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