Retired batteries for secondary use offer significant economic benefits and environmental value.Accurate sorting of retired batteries with diverse characteristics can further enhance their application efficiency.Howev...Retired batteries for secondary use offer significant economic benefits and environmental value.Accurate sorting of retired batteries with diverse characteristics can further enhance their application efficiency.However,in practical sorting processes,the presence of redundant features,noise interference,and distribution discrepancies in the data severely limits the accuracy of sorting outcomes.To address these challenges,this paper proposes an enhanced retired battery sorting strategy that incorporates feature selection and a clustering algorithm,aiming to optimize the sorting process from the perspective of feature data.To address feature redundancy and high dimensionality issues,this paper proposes an entropy screening method.The Local Outlier Factor algorithm is used to remove anomalous samples.Subsequently,an ensemble clustering approach is developed based on Kmeans,Density-Based Spatial Clustering of Applications with Noise,Gaussian Mixture Model,and Spectral clustering,to handle diverse data distributions.The proposed method is validated on 100 retired batteries as well as the large-scale dataset.Additionally,its strong sorting capability and engineering applicability are further demonstrated through carefully designed aging-controlled experiments.展开更多
The brake-by-wire(BBW)system is an essential part of the intelligent electric vehicle,which is determination of the braking safety and recovery efficiency.To design a safe and efficient booster motor,the design of boo...The brake-by-wire(BBW)system is an essential part of the intelligent electric vehicle,which is determination of the braking safety and recovery efficiency.To design a safe and efficient booster motor,the design of booster motor for BBW system is discussed in this paper.Through comparative analysis,experimental simulation and assessment argument,the scheme of designing a booster motor for brake-by-wire system is completely described.First,the mainstream structure of the BBW system and the main challenges it faces in the assisted motor are discussed.Second,comparing the motors of different types and structures,the motor body and control system scheme suitable for the characteristics of the booster motor system are determined.Then,through the simulation analysis of the ansoft and matlab,the optimization scheme of the motor and performance improvement are proposed.Further,through the actual design of a set of the booster motor system,the safe and efficient motor designing are verified,and the problems involving functional safety are discussed.Finally,focus on the problem while simulation and experiment,some important countermeasures to improve current technology and prospect of in-depth study are pointed out.展开更多
基金supported partly by Research Project for Hunan Provincial Department of Education(Grant No.24B0158)partly by the National Natural Science Foundation of China(Grant No.62003288)+1 种基金partly by the Key Project of Research and Development Plan of Hunan Province(Grant No.2023GK2030)partly by the State Key Labora-tory of Advanced Design and Manufacturing Technology for Vehicle(Grant No.72375003).
文摘Retired batteries for secondary use offer significant economic benefits and environmental value.Accurate sorting of retired batteries with diverse characteristics can further enhance their application efficiency.However,in practical sorting processes,the presence of redundant features,noise interference,and distribution discrepancies in the data severely limits the accuracy of sorting outcomes.To address these challenges,this paper proposes an enhanced retired battery sorting strategy that incorporates feature selection and a clustering algorithm,aiming to optimize the sorting process from the perspective of feature data.To address feature redundancy and high dimensionality issues,this paper proposes an entropy screening method.The Local Outlier Factor algorithm is used to remove anomalous samples.Subsequently,an ensemble clustering approach is developed based on Kmeans,Density-Based Spatial Clustering of Applications with Noise,Gaussian Mixture Model,and Spectral clustering,to handle diverse data distributions.The proposed method is validated on 100 retired batteries as well as the large-scale dataset.Additionally,its strong sorting capability and engineering applicability are further demonstrated through carefully designed aging-controlled experiments.
基金supported in part by the Excellent Youth Program of Education Department under Project 21B0124in part by the Natural Science Foundation of China under Grant 62003288+1 种基金in part by the Innovation Platform and Talent Program of Hunan Province under Grant 2021RC2095Supported by China Postdoctoral Science Foundation 2022M712673.
文摘The brake-by-wire(BBW)system is an essential part of the intelligent electric vehicle,which is determination of the braking safety and recovery efficiency.To design a safe and efficient booster motor,the design of booster motor for BBW system is discussed in this paper.Through comparative analysis,experimental simulation and assessment argument,the scheme of designing a booster motor for brake-by-wire system is completely described.First,the mainstream structure of the BBW system and the main challenges it faces in the assisted motor are discussed.Second,comparing the motors of different types and structures,the motor body and control system scheme suitable for the characteristics of the booster motor system are determined.Then,through the simulation analysis of the ansoft and matlab,the optimization scheme of the motor and performance improvement are proposed.Further,through the actual design of a set of the booster motor system,the safe and efficient motor designing are verified,and the problems involving functional safety are discussed.Finally,focus on the problem while simulation and experiment,some important countermeasures to improve current technology and prospect of in-depth study are pointed out.
