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Article

Control Analysis of a Real-World P2 Hybrid Electric Vehicle Based on Test Data

1
Department of Mechanical Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Korea
2
Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, Korea
3
Eco-Friendly Vehicle R&D Division, Korea Automotive Technology Institute, Cheonan, Chungcheongnamdo 31214, Korea
*
Author to whom correspondence should be addressed.
Energies 2020, 13(16), 4092; https://doi.org/10.3390/en13164092
Received: 12 July 2020 / Revised: 31 July 2020 / Accepted: 4 August 2020 / Published: 7 August 2020
(This article belongs to the Special Issue Modeling and Control of Hybrid Electric Vehicles)
The control strategy of a hybrid electric vehicle (HEV) is generally not disclosed to public because it is a significant factor in determining the performance of the system. However, engineers desiring to understand the control concept of real-world HEVs can gain knowledge in various ways. In this study, we used test data obtained from a bench dynamometer and real driving to analyze the supervisory control strategy of Hyundai Ioniq Hybrid. This research can be described in three steps. First, an understanding of the mode control strategy is obtained by investigating the engine on/off behavior, which determines when the pure electric driving mode is used. Second, the shifting patterns are studied by observing the speed ratios according to the vehicle speed and the torque demand. Third, the strategy for distributing the torque between the engine and the motor is analyzed by studying the motor assistant operation. Based on the analyzed control concept, it is possible to understand the technical strategy for improving the fuel efficiency of the parallel hybrid system. This study would be useful for engineers who want to design controllers for HEVs, in that it provides the analyzed control concept and the real-world operating behaviors. View Full-Text
Keywords: hybrid electric vehicle; control analysis; benchmarking; Ioniq; real driving test; dynamometer test; energy management strategy; control strategy; parallel hybrid system hybrid electric vehicle; control analysis; benchmarking; Ioniq; real driving test; dynamometer test; energy management strategy; control strategy; parallel hybrid system
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MDPI and ACS Style

Lee, W.; Kim, T.; Jeong, J.; Chung, J.; Kim, D.; Lee, B.; Kim, N. Control Analysis of a Real-World P2 Hybrid Electric Vehicle Based on Test Data. Energies 2020, 13, 4092. https://doi.org/10.3390/en13164092

AMA Style

Lee W, Kim T, Jeong J, Chung J, Kim D, Lee B, Kim N. Control Analysis of a Real-World P2 Hybrid Electric Vehicle Based on Test Data. Energies. 2020; 13(16):4092. https://doi.org/10.3390/en13164092

Chicago/Turabian Style

Lee, Woong, Tacksu Kim, Jongryeol Jeong, Jaewoo Chung, Deokjin Kim, Beomho Lee, and Namwook Kim. 2020. "Control Analysis of a Real-World P2 Hybrid Electric Vehicle Based on Test Data" Energies 13, no. 16: 4092. https://doi.org/10.3390/en13164092

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