Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory
In order to rapidly evaluate the working performance of an Electric Power Steering System (EPS) and clarify the key indicators that affect its working condition, targeted maintenance measures can be taken to improve the vehicle’s handling, stability, and safety. This paper took an EPS system as the...
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MDPI AG
2024-01-01
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author | Zebin Deng Annan Du Chenxi Yang Jianxing Tong Yu Chen |
author_facet | Zebin Deng Annan Du Chenxi Yang Jianxing Tong Yu Chen |
author_sort | Zebin Deng |
collection | DOAJ |
description | In order to rapidly evaluate the working performance of an Electric Power Steering System (EPS) and clarify the key indicators that affect its working condition, targeted maintenance measures can be taken to improve the vehicle’s handling, stability, and safety. This paper took an EPS system as the research object and decomposed it into five working indicators: steering lightness, steering returnability, steering wheel mid-zone performance, steering wheel vibration, and power assist characteristics. On this basis, the subjective exponential extension Analytic Hierarchy Process (AHP) was combined with the objective improved entropy weight method, and then the combination weighting method of game theory was employed to ensure that the results were reliable. At the same time, a cloud model was introduced to understand the actual situation of each indicator by using cloud parameters and multi-level feedback results. According to the principle of maximum membership and the comprehensive evaluation method, the EPS performance evaluation result was obtained. The results showed that the comprehensive cloud parameter of EPS was <i>U</i> (74.31, 6.08, 0.50), which indicated that its working performance was in good condition, with some minor damage that did not affect its normal use; however, attention should be paid to the maintenance and repair of vulnerable components to ensure the handling, stability, and safety of the vehicle. |
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issn | 2076-3417 |
language | English |
last_indexed | 2024-03-08T04:00:35Z |
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spelling | doaj.art-77e63e8e592e43b3a56e9451f08d9bcc2024-02-09T15:07:29ZengMDPI AGApplied Sciences2076-34172024-01-01143104310.3390/app14031043Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud TheoryZebin Deng0Annan Du1Chenxi Yang2Jianxing Tong3Yu Chen4College of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, ChinaCollege of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, ChinaCollege of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, ChinaSchool of Electronic Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaCollege of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, ChinaIn order to rapidly evaluate the working performance of an Electric Power Steering System (EPS) and clarify the key indicators that affect its working condition, targeted maintenance measures can be taken to improve the vehicle’s handling, stability, and safety. This paper took an EPS system as the research object and decomposed it into five working indicators: steering lightness, steering returnability, steering wheel mid-zone performance, steering wheel vibration, and power assist characteristics. On this basis, the subjective exponential extension Analytic Hierarchy Process (AHP) was combined with the objective improved entropy weight method, and then the combination weighting method of game theory was employed to ensure that the results were reliable. At the same time, a cloud model was introduced to understand the actual situation of each indicator by using cloud parameters and multi-level feedback results. According to the principle of maximum membership and the comprehensive evaluation method, the EPS performance evaluation result was obtained. The results showed that the comprehensive cloud parameter of EPS was <i>U</i> (74.31, 6.08, 0.50), which indicated that its working performance was in good condition, with some minor damage that did not affect its normal use; however, attention should be paid to the maintenance and repair of vulnerable components to ensure the handling, stability, and safety of the vehicle.https://www.mdpi.com/2076-3417/14/3/1043EPSAHPentropy weight methodgame theorycloud theorymulti-level evaluation |
spellingShingle | Zebin Deng Annan Du Chenxi Yang Jianxing Tong Yu Chen Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory Applied Sciences EPS AHP entropy weight method game theory cloud theory multi-level evaluation |
title | Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory |
title_full | Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory |
title_fullStr | Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory |
title_full_unstemmed | Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory |
title_short | Multilevel Evaluation Model of Electric Power Steering System Based on Improved Combination Weighting and Cloud Theory |
title_sort | multilevel evaluation model of electric power steering system based on improved combination weighting and cloud theory |
topic | EPS AHP entropy weight method game theory cloud theory multi-level evaluation |
url | https://www.mdpi.com/2076-3417/14/3/1043 |
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