Performance optimization of hybrid hydrogen fuel cell-electric vehicles in real driving cycles |
| |
| Affiliation: | 1. School of Mechanical Engineering, Faculty of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran;2. School of Automotive Engineering. Faculty of Automotive Engineering, Iran University of Science and Technology, P. O. Box 1681666110, Tehran, Iran;3. Faculty of Mechanical Engineering, Yildiz Technical University, Besiktas, Istanbul, 34349, Turkey;1. University of Pitesti, Faculty of Electronics, Communications and Computers Science, 1 Targu din Vale, Arges, 110040 Pitesti, Romania;2. University Politehnica of Bucharest, Doctoral School, Bucharest, Romania;3. Renewable Energy Research Centre (RERC), King Mongkut''s University of Technology North Bangkok, Bangkok, Thailand;1. Henan Key Laboratory of Robot and Intelligent Systems, Henan University of Science and Technology, Luoyang, 471023, China;2. School of Information Engineering, Henan University of Science and Technology, Luoyang, 471023, China;1. State Key Laboratory of Mechanical Transmissions & School of Automotive Engineering, Chongqing University, Chongqing, 400044, China;2. Sir William Wright Technology Center, Queen’s University Belfast, Belfast, BT9 5BS, United Kingdom;3. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, 650500, China;4. School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, United Kingdom;5. Key Laboratory of Advanced Manufacture Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing, 400054, China |
| |
| Abstract: | In this research study, a fuel cell-electric hybrid car is studied. This car includes an electric motor that is connected to a fuel cell and a complex which includes a battery pack and an Ultracapacitor. The assessment of this hybrid vehicle is conducted by using various driving cycles such as FTP-75 driving cycle, NEDC driving cycle and SFTP-SC03 driving cycle. Battery state of charge (SoC) and hydrogen fuel consumption are the effective parameters influencing the vehicle performance. For analysing the performance of this vehicle, an innovative computational model is considered. In this innovative computational model, an accurate control strategy is considered in order to control the power demand, staying the battery packs and the Ultracapacitor state of charge in a limited domain. Results show that in NEDC driving cycle, by means of using Ultracapacitor in this model, 3.3% reduction in fuel consumption and 20.2% decrease in the difference between initial and final State of Charge (SoC) in battery pack can be achieved. In addition, a robust regenerative braking control strategy is used in order to recover some parts of the wasted energy in braking driving modes. |
| |
| Keywords: | Fuel cell-electric hybrid car Driving cycles Vehicle control strategy Ultracapacitor Regenerative braking |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
