An adaptive fuzzy coordinated control strategy for hybrid electric vehicles considering clutch wear and engine temperature variation
Abstract An improved method of clutch coordinated control based on the Kalman filter was proposed to solve the problem that the existing mode switching strategy of hybrid electric vehicles could not adapt to engine temperature changes and clutch wear. First, taking advantage of the relationship betw...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-09-01
|
| Series: | Energy Science & Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ese3.1754 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846167703238213632 |
|---|---|
| author | Aiyun Gao Zhumu Fu Fazhan Tao |
| author_facet | Aiyun Gao Zhumu Fu Fazhan Tao |
| author_sort | Aiyun Gao |
| collection | DOAJ |
| description | Abstract An improved method of clutch coordinated control based on the Kalman filter was proposed to solve the problem that the existing mode switching strategy of hybrid electric vehicles could not adapt to engine temperature changes and clutch wear. First, taking advantage of the relationship between the torque transmitted by the clutch and the starting resistance of the engine, combined with the characteristics of the clutch, the clutch wear was roughly calculated. Accordingly, the control strategy of the clutch in the existing mode switching was improved to adapt to the clutch wear. The adaptive control strategy proposed for clutch wear included the fuzzy control module of the initial engagement pressure, the fuzzy inference module of the clutch engaging pressure change, the clutch wear estimation module and so on. Second, the Kalman filter was used to process the results to improve the estimation accuracy of clutch wear. The engine starting resistance related to starting speed and temperature was modeled to enhance the adaptability of the control strategy to engine temperature. Finally, the designed control strategy was verified in simulation. The results show that the improved control strategy can complete the mode switching when the engine temperature is variable and the clutch is worn. The maximum impact degree increased from 5 m/s3 without wear to 8.5 m/s3 with wear, but it is still less than the index limit, and it can be considered that the proposed strategy can achieve the desired control effect. The fuzzy control algorithm proposed enhances the vehicle's ride comfort during mode switching from pure electric driving to hybrid driving. |
| format | Article |
| id | doaj-art-cfd7548f1967446c991c28880c4d655c |
| institution | Kabale University |
| issn | 2050-0505 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj-art-cfd7548f1967446c991c28880c4d655c2024-11-14T13:05:25ZengWileyEnergy Science & Engineering2050-05052024-09-011293631364610.1002/ese3.1754An adaptive fuzzy coordinated control strategy for hybrid electric vehicles considering clutch wear and engine temperature variationAiyun Gao0Zhumu Fu1Fazhan Tao2School of Vehicle and Transportation Engineering Henan University of Science and Technology Henan ChinaSchool of Information Engineering Henan University of Science and Technology Henan ChinaSchool of Information Engineering Henan University of Science and Technology Henan ChinaAbstract An improved method of clutch coordinated control based on the Kalman filter was proposed to solve the problem that the existing mode switching strategy of hybrid electric vehicles could not adapt to engine temperature changes and clutch wear. First, taking advantage of the relationship between the torque transmitted by the clutch and the starting resistance of the engine, combined with the characteristics of the clutch, the clutch wear was roughly calculated. Accordingly, the control strategy of the clutch in the existing mode switching was improved to adapt to the clutch wear. The adaptive control strategy proposed for clutch wear included the fuzzy control module of the initial engagement pressure, the fuzzy inference module of the clutch engaging pressure change, the clutch wear estimation module and so on. Second, the Kalman filter was used to process the results to improve the estimation accuracy of clutch wear. The engine starting resistance related to starting speed and temperature was modeled to enhance the adaptability of the control strategy to engine temperature. Finally, the designed control strategy was verified in simulation. The results show that the improved control strategy can complete the mode switching when the engine temperature is variable and the clutch is worn. The maximum impact degree increased from 5 m/s3 without wear to 8.5 m/s3 with wear, but it is still less than the index limit, and it can be considered that the proposed strategy can achieve the desired control effect. The fuzzy control algorithm proposed enhances the vehicle's ride comfort during mode switching from pure electric driving to hybrid driving.https://doi.org/10.1002/ese3.1754adaptive fuzzy controlclutch wearengine temperaturehybrid electric vehicle (HEV)mode switching |
| spellingShingle | Aiyun Gao Zhumu Fu Fazhan Tao An adaptive fuzzy coordinated control strategy for hybrid electric vehicles considering clutch wear and engine temperature variation Energy Science & Engineering adaptive fuzzy control clutch wear engine temperature hybrid electric vehicle (HEV) mode switching |
| title | An adaptive fuzzy coordinated control strategy for hybrid electric vehicles considering clutch wear and engine temperature variation |
| title_full | An adaptive fuzzy coordinated control strategy for hybrid electric vehicles considering clutch wear and engine temperature variation |
| title_fullStr | An adaptive fuzzy coordinated control strategy for hybrid electric vehicles considering clutch wear and engine temperature variation |
| title_full_unstemmed | An adaptive fuzzy coordinated control strategy for hybrid electric vehicles considering clutch wear and engine temperature variation |
| title_short | An adaptive fuzzy coordinated control strategy for hybrid electric vehicles considering clutch wear and engine temperature variation |
| title_sort | adaptive fuzzy coordinated control strategy for hybrid electric vehicles considering clutch wear and engine temperature variation |
| topic | adaptive fuzzy control clutch wear engine temperature hybrid electric vehicle (HEV) mode switching |
| url | https://doi.org/10.1002/ese3.1754 |
| work_keys_str_mv | AT aiyungao anadaptivefuzzycoordinatedcontrolstrategyforhybridelectricvehiclesconsideringclutchwearandenginetemperaturevariation AT zhumufu anadaptivefuzzycoordinatedcontrolstrategyforhybridelectricvehiclesconsideringclutchwearandenginetemperaturevariation AT fazhantao anadaptivefuzzycoordinatedcontrolstrategyforhybridelectricvehiclesconsideringclutchwearandenginetemperaturevariation AT aiyungao adaptivefuzzycoordinatedcontrolstrategyforhybridelectricvehiclesconsideringclutchwearandenginetemperaturevariation AT zhumufu adaptivefuzzycoordinatedcontrolstrategyforhybridelectricvehiclesconsideringclutchwearandenginetemperaturevariation AT fazhantao adaptivefuzzycoordinatedcontrolstrategyforhybridelectricvehiclesconsideringclutchwearandenginetemperaturevariation |