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

Harnessing Electrocardiography Signals for Driver State Classification Using Multi-layered Neural Networks 利用多层神经网络对心电图信号进行驾驶员状态分类

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-06-18 DOI: 10.1007/s12239-024-00109-4

Amir Tjolleng, Kihyo Jung

引用次数: 0

Enhancing Connected Autonomous Vehicle Formations: Discrete–Offline–Online Three-Layer Architecture for Platoon Reconfiguration 增强互联自主车辆编队：离散-离线-在线三层排级重构架构

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-31 DOI: 10.1007/s12239-024-00083-x

Weishan Yang, Yuepeng Chen, Yixin Su

{"title":"Enhancing Connected Autonomous Vehicle Formations: Discrete–Offline–Online Three-Layer Architecture for Platoon Reconfiguration","authors":"Weishan Yang, Yuepeng Chen, Yixin Su","doi":"10.1007/s12239-024-00083-x","DOIUrl":"https://doi.org/10.1007/s12239-024-00083-x","url":null,"abstract":"The formation transformation in intelligent connected autonomous vehicles (CAVs) enhances platoon versatility and significantly improves traffic efficiency. Current formation control strategies for CAV platoons often focus on fixed formation scenarios. This paper proposes a three-layer architecture for platoon reconfiguration, encompassing discrete, offline, and online layers. CAV platoons utilize this architecture to transform their existing formation into a specified target formation from the Intelligent Transportation System (ITS). In the discrete layer, we propose a formation representation scheme and design A* and cooperative sorting algorithms to achieve the optimal intermediate formation sequence. Moving to the offline layer, we design a Signal Temporal Logic-based model predictive control algorithm (MPC). This algorithm plans continuous, dynamically feasible, and collision-free safe trajectories, which are stored in an offline trajectory database. In the online layer, we design a successive linearization-based MPC to track the offline trajectories in real-time traffic environments and accomplish the platoon reconfiguration task. We implement single-lane and multi-lane platoon reconfiguration tasks in the MATLAB platform, comparing them with two advanced platoon reconfiguration algorithms. The experimental results, demonstrating the effectiveness of the proposed approach, are presented and discussed.","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190867","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

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":null,"pages":null},"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":null,"pages":null},"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

A Study on the Improvement of Acoustic Characteristics of Wheeled Armored Command Vehicles 轮式装甲指挥车声学特性改进研究

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-23 DOI: 10.1007/s12239-024-00091-x

Myoung Woon Kim, Seong Mok Moon, Ho Bum Kim

引用次数: 0

Nonlinear Water Transport Through a Polymer Electrolyte Membrane Under Transient Operation of a Proton Exchange Membrane Fuel Cell 质子交换膜燃料电池瞬态运行下聚合物电解质膜的非线性水传输

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-21 DOI: 10.1007/s12239-024-00101-y

Chanhee Lee, Yoora Choi, Younghyeon Kim, Sangseok Yu

引用次数: 0

Evaluation of Display Configuration and Seat Orientation Considering Various Automated Driving Situations Using a Vehicle Simulator 使用车辆模拟器评估各种自动驾驶情况下的显示器配置和座椅方向

IF 1.6 4区工程技术

International Journal of Automotive Technology Pub Date : 2024-05-20 DOI: 10.1007/s12239-024-00097-5

Sara Hong, Su Kyeong Kim, Byung Seok Kong, Sung Sik Choi, Ji Hyun Yang

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":null,"pages":null},"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