Driving Intention Recognition of Electric Wheel Loader Based on Fuzzy Control
Energy conservation and emission reduction is a common concern in various industries. The construction process of electric wheel loaders has the advantages of being zero-emission and having a high energy efficiency, and has been widely recognized by the industry. The frequent shift in wheel loader w...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/1/32 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841548982806904832 |
|---|---|
| author | Qihuai Chen Yuanzheng Lin Mingkai Xu Haoling Ren Guanjie Li Tianliang Lin |
| author_facet | Qihuai Chen Yuanzheng Lin Mingkai Xu Haoling Ren Guanjie Li Tianliang Lin |
| author_sort | Qihuai Chen |
| collection | DOAJ |
| description | Energy conservation and emission reduction is a common concern in various industries. The construction process of electric wheel loaders has the advantages of being zero-emission and having a high energy efficiency, and has been widely recognized by the industry. The frequent shift in wheel loader working processes poses a serious challenge to the operator. Automatic shift is an effective way to improve the operator’s comfort and safety. The driving intention is an important input judgment condition to achieve efficient automatic shift. However, the current methods of vehicle driving intention recognition mainly focus on passenger cars. The working condition of the wheel loader is significantly different from that of the passenger car, with a high shifting frequency and severe load fluctuation. The driving intention recognition method of passenger cars is difficult to transplant directly. In this paper, aiming at the characteristics of wheel loader working conditions, a fuzzy recognition method based on fuzzy control is applied to driving intention recognition for electric wheel loaders. The throttle, throttle change rate and braking signals are used as inputs for recognizing the driving intention at the current moment of the whole machine. Five types of driving intentions, namely, rapid acceleration, normal acceleration, acceleration maintenance, deceleration and braking, are defined and recognized. In order to verify the effectiveness of the proposed method, simulation and experimental research are carried out. The results show that the proposed driving intention recognition method can effectively identify the driver’s intention and provide effective shift signal input for the wheel loader. |
| format | Article |
| id | doaj-art-38f7a5a714064d679e207374137a3fc4 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-38f7a5a714064d679e207374137a3fc42025-01-10T13:20:37ZengMDPI AGSensors1424-82202024-12-012513210.3390/s25010032Driving Intention Recognition of Electric Wheel Loader Based on Fuzzy ControlQihuai Chen0Yuanzheng Lin1Mingkai Xu2Haoling Ren3Guanjie Li4Tianliang Lin5College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaCollege of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaCollege of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaCollege of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaCollege of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaCollege of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, ChinaEnergy conservation and emission reduction is a common concern in various industries. The construction process of electric wheel loaders has the advantages of being zero-emission and having a high energy efficiency, and has been widely recognized by the industry. The frequent shift in wheel loader working processes poses a serious challenge to the operator. Automatic shift is an effective way to improve the operator’s comfort and safety. The driving intention is an important input judgment condition to achieve efficient automatic shift. However, the current methods of vehicle driving intention recognition mainly focus on passenger cars. The working condition of the wheel loader is significantly different from that of the passenger car, with a high shifting frequency and severe load fluctuation. The driving intention recognition method of passenger cars is difficult to transplant directly. In this paper, aiming at the characteristics of wheel loader working conditions, a fuzzy recognition method based on fuzzy control is applied to driving intention recognition for electric wheel loaders. The throttle, throttle change rate and braking signals are used as inputs for recognizing the driving intention at the current moment of the whole machine. Five types of driving intentions, namely, rapid acceleration, normal acceleration, acceleration maintenance, deceleration and braking, are defined and recognized. In order to verify the effectiveness of the proposed method, simulation and experimental research are carried out. The results show that the proposed driving intention recognition method can effectively identify the driver’s intention and provide effective shift signal input for the wheel loader.https://www.mdpi.com/1424-8220/25/1/32engineering machinerywheel loaderwalkingdriving intention recognitionfuzzy control |
| spellingShingle | Qihuai Chen Yuanzheng Lin Mingkai Xu Haoling Ren Guanjie Li Tianliang Lin Driving Intention Recognition of Electric Wheel Loader Based on Fuzzy Control Sensors engineering machinery wheel loader walking driving intention recognition fuzzy control |
| title | Driving Intention Recognition of Electric Wheel Loader Based on Fuzzy Control |
| title_full | Driving Intention Recognition of Electric Wheel Loader Based on Fuzzy Control |
| title_fullStr | Driving Intention Recognition of Electric Wheel Loader Based on Fuzzy Control |
| title_full_unstemmed | Driving Intention Recognition of Electric Wheel Loader Based on Fuzzy Control |
| title_short | Driving Intention Recognition of Electric Wheel Loader Based on Fuzzy Control |
| title_sort | driving intention recognition of electric wheel loader based on fuzzy control |
| topic | engineering machinery wheel loader walking driving intention recognition fuzzy control |
| url | https://www.mdpi.com/1424-8220/25/1/32 |
| work_keys_str_mv | AT qihuaichen drivingintentionrecognitionofelectricwheelloaderbasedonfuzzycontrol AT yuanzhenglin drivingintentionrecognitionofelectricwheelloaderbasedonfuzzycontrol AT mingkaixu drivingintentionrecognitionofelectricwheelloaderbasedonfuzzycontrol AT haolingren drivingintentionrecognitionofelectricwheelloaderbasedonfuzzycontrol AT guanjieli drivingintentionrecognitionofelectricwheelloaderbasedonfuzzycontrol AT tianlianglin drivingintentionrecognitionofelectricwheelloaderbasedonfuzzycontrol |