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International Journal of Automotive Technology最新文献

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Comparison of Tire Rolling Resistance Measuring Methods for Different Surfaces 不同路面轮胎滚动阻力测量方法的比较
IF 1.6 4区 工程技术
International Journal of Automotive Technology Pub Date : 2024-05-15 DOI: 10.1007/s12239-024-00092-w
J. Ejsmont, G. Ronowski, L. Ydrefors, Wojciech Owczarzak, S. Sommer, B. Świeczko-Żurek
{"title":"Comparison of Tire Rolling Resistance Measuring Methods for Different Surfaces","authors":"J. Ejsmont, G. Ronowski, L. Ydrefors, Wojciech Owczarzak, S. Sommer, B. Świeczko-Żurek","doi":"10.1007/s12239-024-00092-w","DOIUrl":"https://doi.org/10.1007/s12239-024-00092-w","url":null,"abstract":"","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140977320","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
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
{"title":"Psychological Field Effect Analysis and Car-Following Behavior Modeling Based on Driving Style","authors":"Hui Song, Dayi Qu, Chunyan Hu, Tao Wang, Liyuan Ji","doi":"10.1007/s12239-024-00079-7","DOIUrl":"https://doi.org/10.1007/s12239-024-00079-7","url":null,"abstract":"<p>To analyze the car-following behavior accurately, this paper takes the drivers’ psychological factors into the consideration based on the psychological field theory. The vehicle dynamics indexes are extracted through vehicle history trajectories and the driving styles are clustered by k-means methods. After that the perception coefficient, reaction coefficient, and driving style correction coefficient are obtained and integrated into the psychological field for characterizing the drivers’ driving styles. The psychological car-following model which considers the driving styles is built based on the Full Velocity Difference (FVD) model. Finally, the model is validated under the MATLAB/Simulink environment and the result reveals that the psychological field car-following model achieves higher accuracy of characterizing car-following behavior compared with the FVD model and the interaction potential model.</p>","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931538","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
Erratum: Optimization of Dynamic Performance of a Solenoid Actuator in a CNG Injector Based on the Effects of Key Design Parameters 更正：基于关键设计参数的影响，优化压缩天然气喷射器中电磁致动器的动态性能
IF 1.6 4区 工程技术
International Journal of Automotive Technology Pub Date : 2024-05-02 DOI: 10.1007/s12239-024-00090-y
N. Hung, Ocktaeck Lim
{"title":"Erratum: Optimization of Dynamic Performance of a Solenoid Actuator in a CNG Injector Based on the Effects of Key Design Parameters","authors":"N. Hung, Ocktaeck Lim","doi":"10.1007/s12239-024-00090-y","DOIUrl":"https://doi.org/10.1007/s12239-024-00090-y","url":null,"abstract":"","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141019622","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
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
{"title":"Combined Steering and Braking Collision Avoidance Control Method Based on Model Predictive Control","authors":"Shaosong Li, Detao Li, Han Wang, Yanbo Jiang, Gaojian Cui","doi":"10.1007/s12239-024-00044-4","DOIUrl":"https://doi.org/10.1007/s12239-024-00044-4","url":null,"abstract":"<p>A combined steering and braking collision avoidance control method based on model predictive control is proposed in the present paper. This method can overcome the limitations of single steering or braking collision avoidance and improve vehicle safety and tracking performance in extremely complex conditions. The utilization rate of tire force, path tracking performance, and driving stability are considered in the design of the model predictive control (MPC) optimization objective. In addition, the front wheel angle and four-wheel braking torque are taken as the optimization variables. Simulation results showed that the proposed method can greatly improve the path tracking performance and driving stability of vehicles.</p>","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140833845","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
Driver Behavior Analysis in Simulated Jaywalking and Accident Prediction Using Machine Learning Algorithms 利用机器学习算法对模拟乱穿马路的驾驶员行为进行分析和事故预测
IF 1.6 4区 工程技术
International Journal of Automotive Technology Pub Date : 2024-04-24 DOI: 10.1007/s12239-024-00070-2
Myeongkyu Lee, Jihun Choi, Songhui Kim, Ji Hyun Yang
{"title":"Driver Behavior Analysis in Simulated Jaywalking and Accident Prediction Using Machine Learning Algorithms","authors":"Myeongkyu Lee, Jihun Choi, Songhui Kim, Ji Hyun Yang","doi":"10.1007/s12239-024-00070-2","DOIUrl":"https://doi.org/10.1007/s12239-024-00070-2","url":null,"abstract":"","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140659656","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
Shape Optimization for the Stability and Lightweighting of the Upper Sliding Rail of an Automotive Monopost Seat 汽车单柱式座椅上滑轨稳定性和轻量化的形状优化
IF 1.6 4区 工程技术
International Journal of Automotive Technology Pub Date : 2024-04-23 DOI: 10.1007/s12239-024-00080-0
Di Sun, Soojin Park, Shunhu Wang, Kyoungmi Hwang, Seonghwan Song, Wonjin Choi, Jingu Park, Jinho Kim
{"title":"Shape Optimization for the Stability and Lightweighting of the Upper Sliding Rail of an Automotive Monopost Seat","authors":"Di Sun, Soojin Park, Shunhu Wang, Kyoungmi Hwang, Seonghwan Song, Wonjin Choi, Jingu Park, Jinho Kim","doi":"10.1007/s12239-024-00080-0","DOIUrl":"https://doi.org/10.1007/s12239-024-00080-0","url":null,"abstract":"","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140670352","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
Local Planning Strategy Based on Deep Reinforcement Learning Over Estimation Suppression 基于抑制估计的深度强化学习的局部规划策略
IF 1.6 4区 工程技术
International Journal of Automotive Technology Pub Date : 2024-04-23 DOI: 10.1007/s12239-024-00076-w
Ling Han, Yiren Wang, Ruifeng Chi, Ruoyu Fang, Guopeng Liu, Qiang Yi, Changsheng Zhu
{"title":"Local Planning Strategy Based on Deep Reinforcement Learning Over Estimation Suppression","authors":"Ling Han, Yiren Wang, Ruifeng Chi, Ruoyu Fang, Guopeng Liu, Qiang Yi, Changsheng Zhu","doi":"10.1007/s12239-024-00076-w","DOIUrl":"https://doi.org/10.1007/s12239-024-00076-w","url":null,"abstract":"","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140671508","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
Human–Machine Cooperative Steering Control Based on Non-cooperative Nash Game 基于非合作纳什博弈的人机协同转向控制
IF 1.6 4区 工程技术
International Journal of Automotive Technology Pub Date : 2024-04-22 DOI: 10.1007/s12239-024-00048-0
Pengzhou Li, Zhengang Gao, Dequan Pu, Ning Wang
{"title":"Human–Machine Cooperative Steering Control Based on Non-cooperative Nash Game","authors":"Pengzhou Li, Zhengang Gao, Dequan Pu, Ning Wang","doi":"10.1007/s12239-024-00048-0","DOIUrl":"https://doi.org/10.1007/s12239-024-00048-0","url":null,"abstract":"","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140673342","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
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":"<p>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.</p>","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"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":"<p>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.</p>","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"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
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