Torque-Leveling Threshold-Changing Rule-Based Control for Parallel Hybrid Electric Vehicles
| Autor: | Simos A. Evangelou, Xuefang Li |
|---|---|
| Přispěvatelé: | Engineering and Physical Sciences Research Council, Engineering & Physical Science Research Council (E |
| Rok vydání: | 2019 |
| Předmět: |
Technology
supervisory control system (SCS) Computer Networks and Communications Energy management Heuristic (computer science) Computer science Aerospace Engineering Transportation PONTRYAGINS MINIMUM PRINCIPLE Context (language use) 02 engineering and technology 09 Engineering Engineering 0203 mechanical engineering 10 Technology Torque ALGORITHM Electrical and Electronic Engineering OPTIMIZATION heuristic control strategy Operating point Science & Technology Transportation Science & Technology Load following power plant Engineering Electrical & Electronic 020302 automobile design & engineering Control engineering CONTROL STRATEGY Automotive Engineering Telecommunications 08 Information and Computing Sciences hybrid electric vehicle (HEV) Energy source Automobile Design & Engineering ECMS |
| Zdroj: | IEEE Transactions on Vehicular Technology. 68:6509-6523 |
| ISSN: | 1939-9359 0018-9545 |
| DOI: | 10.1109/tvt.2019.2916720 |
| Popis: | A novel rule-based control strategy is proposed for the energy management of parallel hybrid electric vehicles (HEVs): the torque-leveling threshold-changing strategy (TTS). In contrast to the most commonly used heuristic electric assist control strategy (EACS) that is designed based on the load following approach, the TTS proposes and applies the new fundamental concept of torque leveling. This mechanism operates the engine with a constant torque when the engine is active, thus ensuring the engine works at an efficient operating point. The TTS additionally extends and uses a design concept that has previously been proposed in the context of series HEVs, the threshold-changing mechanism, to operate the HEV in a charge-sustaining manner. By exploiting this new set of design principles for parallel HEVs, the TTS realizes energy source control sharing behavior that is reminiscent to optimization-based methods. To show its effectiveness, the TTS is implemented to a through-the-road (TTR) HEV and benchmarked against two conventional control strategies: dynamic programming (DP) and the EACS. The results show that the TTS, despite its simplicity, is able to deliver comparable fuel economy as the global optimization approach DP and thus achieve significant improvement compared to the EACS. In addition, to facilitate real-time application, a simplified version of the TTS (STTS) is also developed, which is able to deliver similar performance as the TTS but is more simple to implement in practice. |
| Databáze: | OpenAIRE |
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