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

Woong Lee, Tacksu Kim, Jongryeol Jeong, Jaewoo Chung, Deokjin Kim, Beomho Lee and Namwook Kim
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Woong Lee: Department of Mechanical Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Korea
Tacksu Kim: Department of Mechanical Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Korea
Jongryeol Jeong: Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, Korea
Jaewoo Chung: Eco-Friendly Vehicle R&D Division, Korea Automotive Technology Institute, Cheonan, Chungcheongnamdo 31214, Korea
Deokjin Kim: Eco-Friendly Vehicle R&D Division, Korea Automotive Technology Institute, Cheonan, Chungcheongnamdo 31214, Korea
Beomho Lee: Eco-Friendly Vehicle R&D Division, Korea Automotive Technology Institute, Cheonan, Chungcheongnamdo 31214, Korea
Namwook Kim: Department of Mechanical Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Korea

Energies, 2020, vol. 13, issue 16, 1-15

Abstract: 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.

Keywords: hybrid electric vehicle; control analysis; benchmarking; Ioniq; real driving test; dynamometer test; energy management strategy; control strategy; parallel hybrid system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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