International Journal of Automotive Technology最新文献_第5页

Diagnosis of EV Gearbox Bearing Fault Using Deep Learning-Based Signal Processing 利用基于深度学习的信号处理诊断电动汽车变速箱轴承故障

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-28 DOI: 10.1007/s12239-024-00094-8

Kicheol Jeong, Chulwoo Moon

{"title":"Diagnosis of EV Gearbox Bearing Fault Using Deep Learning-Based Signal Processing","authors":"Kicheol Jeong, Chulwoo Moon","doi":"10.1007/s12239-024-00094-8","DOIUrl":"https://doi.org/10.1007/s12239-024-00094-8","url":null,"abstract":"The gearbox of an electric vehicle operates under the high load torque and axial load of electric vehicles. In particular, the bearings that support the shaft of the gearbox are subjected to several tons of axial load, and as the mileage increases, fault occurs on bearing rolling elements frequently. Such bearing fault has a serious impact on driving comfort and vehicle safety, however, bearing faults are diagnosed by human experts nowadays, and algorithm-based electric vehicle bearing fault diagnosis has not been implemented. Therefore, in this paper, a deep learning-based bearing vibration signal processing method to diagnose bearing fault in electric vehicle gearboxes is proposed. The proposed method consists of a deep neural network learning stage and an application stage of the pre-trained neural network. In the deep neural network learning stage, supervised learning is carried out based on two acceleration sensors. In the neural network application stage, signal processing of a single accelerometer signal is performed through a pre-trained neural network. In conclusion, the pre-trained neural network makes bearing fault signals stand out and can utilize these signals to extract frequency characteristics of bearing fault.","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":"45 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141171792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Developing a Tubular Type Flux-Switching Permanent Magnet Linear Machine for a Semi-active Suspension Systems 为半主动悬挂系统开发管式磁通开关永磁直线机

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-28 DOI: 10.1007/s12239-024-00100-z

Serdal Arslan

{"title":"Developing a Tubular Type Flux-Switching Permanent Magnet Linear Machine for a Semi-active Suspension Systems","authors":"Serdal Arslan","doi":"10.1007/s12239-024-00100-z","DOIUrl":"https://doi.org/10.1007/s12239-024-00100-z","url":null,"abstract":"Safety, comfort, range, and energy consumption continue to be highly important for today’s motor vehicles. This study considers suspension systems and investigates a semi-active suspension system based on a tubular flux-switching linear machine. The study optimizes motor performance by defining objective functions that use genetic algorithms to reduce cogging forces. Different configurations of model including block, circular, and cylindrical magnetized have been compared in terms of flux density, mesh size, and manufacturing cost by using magnetostatic analyses. Changes in induced voltage, cogging force, and thrust force according to the current based on 2D transient time analysis data were investigated. Multi-physics analysis of the machine was performed on a quarter-vehicle model using linear analysis, as using a linear machine was more effective for vibration mitigation. A prototype of the proposed block magnet-configurated machine was manufactured, comprising a linear motion system driven by an induction motor with a crankshaft to simulate linear motion of the suspension system. Analysis shows that the designed machine is effective as a semi-active suspension system for vibration and damping.","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":"35 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141172280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Load Factor Characteristics of 200 kw Class Excavators in Real-Work Operation Mode 200 kw 级挖掘机在实际工作运行模式下的负载率特性

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-18 DOI: 10.1007/s12239-024-00095-7

Dal Ho Shin, Seok Joo Kwon, Yun Seo Park, Chul Yoo, Suhan Park

引用次数: 0

A Study on Lateral Stability Control of Distributed Drive Electric Vehicle Based on Fuzzy Adaptive Sliding Mode Control 基于模糊自适应滑模控制的分布式驱动电动汽车侧向稳定性控制研究

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-18 DOI: 10.1007/s12239-024-00099-3

Guo Qing Geng, Peng Cheng, Li Qin Sun, Xing Xu, Fanqi Shen

{"title":"A Study on Lateral Stability Control of Distributed Drive Electric Vehicle Based on Fuzzy Adaptive Sliding Mode Control","authors":"Guo Qing Geng, Peng Cheng, Li Qin Sun, Xing Xu, Fanqi Shen","doi":"10.1007/s12239-024-00099-3","DOIUrl":"https://doi.org/10.1007/s12239-024-00099-3","url":null,"abstract":"This paper presents a joint sliding mode control algorithm with fuzzy adaptive gain to address the problem that the lateral stability of distributed drive electric vehicles is affected by system parameter perturbation and external environment disturbances under steering conditions. The control system is designed by considering the influence of road conditions and tire nonlinearity, taking the yaw rate and sideslip angle as control variables. The difference between the expected value and the actual value of the control quantity is taken as the input to obtain the expected front-wheel angle for feedback correction. Aiming at the problem that it is difficult to obtain the critical driving state parameters of vehicles and to directly measure the road adhesion coefficient which affects the vehicle's lateral stability, this paper presents a simplified unscented Kalman filter observer which is designed to dynamically estimate the vehicle state parameters and road adhesion coefficient for the lateral stability controller. Based on CarSim and MATLAB/Simulink, a co-simulation model is developed and verified under different working conditions. The results reveal that the proposed lateral stability control algorithm effectively reduces the front wheel steering angle, improving the vehicle's handling stability while reducing the driver's operating burden and improving driving safety.","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":"132 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141061798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SOC Estimation of Li-Ion Power Battery Based on Strong Tracking UKF with Multiple Suboptimal Fading Factors 基于多种次优消隐因子的强跟踪 UKF 的锂离子动力电池 SOC 估算

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-17 DOI: 10.1007/s12239-024-00093-9

Zhengjun Huang, Tengfei Xiang, Yu Chen, Ludan Shi

引用次数: 0

Psychological Field Effect Analysis and Car-Following Behavior Modeling Based on Driving Style 基于驾驶风格的心理场效应分析和跟车行为建模

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-02 DOI: 10.1007/s12239-024-00079-7

Hui Song, Dayi Qu, Chunyan Hu, Tao Wang, Liyuan Ji

引用次数: 0

Combined Steering and Braking Collision Avoidance Control Method Based on Model Predictive Control 基于模型预测控制的转向与制动组合防撞控制方法

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-04-30 DOI: 10.1007/s12239-024-00044-4

Shaosong Li, Detao Li, Han Wang, Yanbo Jiang, Gaojian Cui

引用次数: 0

In-Vehicle Environment Noise Speech Enhancement Using Lightweight Wave-U-Net 利用轻量级 Wave-U-Net 增强车内环境噪声语音效果

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-04-19 DOI: 10.1007/s12239-024-00078-8

Byung Ha Kang, Hyun Jun Park, Sung Hee Lee, Yeon Kyu Choi, Myoung Ok Lee, Sung Won Han

{"title":"In-Vehicle Environment Noise Speech Enhancement Using Lightweight Wave-U-Net","authors":"Byung Ha Kang, Hyun Jun Park, Sung Hee Lee, Yeon Kyu Choi, Myoung Ok Lee, Sung Won Han","doi":"10.1007/s12239-024-00078-8","DOIUrl":"https://doi.org/10.1007/s12239-024-00078-8","url":null,"abstract":"With the rapid advancement of AI technology, speech recognition has also advanced quickly. In recent years, speech-related technologies have been widely implemented in the automotive industry. However, in-vehicle environment noise inhibits the recognition rate, resulting in poor speech recognition performance. Numerous speech enhancement methods have been proposed to mitigate this performance degradation. Filter-based methodologies have been used to remove existing vehicle environment noise; however, they remove only limited noise. In addition, there is the constraint that there are limits to the size of models that can be mounted inside a vehicle. Therefore, making the model lighter while increasing speech quality in a vehicle environment is an essential factor. This study proposes a Wave-U-Net with a depthwise-separable convolution to overcome these limitations. We built various convolutional blocks using the Wave-U-Net model as a baseline to analyze the results, and we designed the network by adding squeeze-and-excitation network to improve performance without significantly increasing the parameters. The experimental results show how much noise is lost through spectrogram visualization, and that the proposed model improves performance in eliminating noise compared with conventional methods.","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":"110 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140623015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective Optimization and Performance Analysis of Dual-Rotor Hub Motor Based on Comprehensive Sensitivity Stratification 基于综合灵敏度分层的双转子轮毂电机多目标优化与性能分析

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-04-18 DOI: 10.1007/s12239-024-00084-w

Junmin Li, Ren He, Wenguang Guo, Yibo Wang, Hongxuan Sun

{"title":"Multi-objective Optimization and Performance Analysis of Dual-Rotor Hub Motor Based on Comprehensive Sensitivity Stratification","authors":"Junmin Li, Ren He, Wenguang Guo, Yibo Wang, Hongxuan Sun","doi":"10.1007/s12239-024-00084-w","DOIUrl":"https://doi.org/10.1007/s12239-024-00084-w","url":null,"abstract":"To solve the shortcomings of the existing hub motors in the practical application of electric vehicles, an integrated dual-rotor hub motor (DRHM) was proposed, which can realize multiple drive modes to adapt to the vehicle's variable driving conditions. Aiming at the complex structure of the DRHM, a multi-objective optimization method of design variables stratification based on comprehensive sensitivity was proposed. The design variables with medium and high sensitivity were optimized by the response surface method and genetic algorithm, respectively. After overall weighing the optimization objectives of output torque, torque ripple, usage amount of permanent magnets and magnetic coupling coefficient, three candidate design were screened out. By the comprehensive performance evaluation of the motor, the optimal structural sizes were determined. Based on a two-dimensional model, the electromagnetic performances of the DRHM were analyzed. The simulation results show that the motor has a small cogging torque and low magnetic coupling degree, and the independent control and stable operation of the internal and external motors can be realized. Besides, the basic characteristics of the DRHM prototype were tested. The experimental results accords well with the simulation results, which show that the proposed motor structure is reasonable and the multi-objective optimization method is effective.","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":"40 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research of Hood on Maintaining Performance Balance Between Dent Resistance and Pedestrian Head Protection 研究油烟机如何在防凹痕和行人头部保护之间保持性能平衡

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-04-18 DOI: 10.1007/s12239-024-00081-z

Huixia Zhang, Yongwei Shi, Lian Lu, Ligang Gou, Lei Wang, Jun Zhang

{"title":"Research of Hood on Maintaining Performance Balance Between Dent Resistance and Pedestrian Head Protection","authors":"Huixia Zhang, Yongwei Shi, Lian Lu, Ligang Gou, Lei Wang, Jun Zhang","doi":"10.1007/s12239-024-00081-z","DOIUrl":"https://doi.org/10.1007/s12239-024-00081-z","url":null,"abstract":"In the developmental phase of passenger automobile hoods, it is crucial to take dent resistance and pedestrian head protection performances into account. And maintaining a performance balance between the two aspects has proven challenging. With few studies on how to effectively maintain the balance, in this paper, a certain passenger car hood was used as a basic model to investigate structural improvement directions that benefit both performances, by modifying several key variables of the honeycomb shaped inner panel one at a time and then outputting results of hood dent resistance and headform impact through Abaqus and LS-DYNA, respectively. The results indicated that raising the honeycomb inner panel structure at positions with poor stiffness contributes to improvements in dent resistance and pedestrian head protection performance, reflecting in a maximum stiffness increase of 50% and a reduction of 2.98% in the average value of HIC15 change rate. And other alternative improvement options, as well as their effects on dent resistance and pedestrian head protection performance, were provided, providing insights for optimizing the structure of vehicle hood inner panels.","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":"26 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140613100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0