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International Journal of Vehicle Systems Modelling and Testing最新文献

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Research on vehicle safe speed based on real-time ramp information 基于实时匝道信息的车辆安全速度研究
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvsmt.2022.10054255
Ni Jun, Chang Jiang, Zhu Si da, Hu Xiao ming, Liu Qiong qiong, Yan Jin, Chang Lv, Liu Peng, Liu Shuo
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引用次数: 0
Tyre-terrain interaction modelling and analysis: a literature survey 轮胎-地形相互作用建模与分析:文献综述
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvsmt.2022.10052356
M. El Gindy, S. Rakheja, Fatemeh Gheshlaghi
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引用次数: 1
Kinematics and compliance analysis using a 14 DOF virtual vehicle model: developing a software to simulation and post-processing 基于14自由度虚拟车辆模型的运动学与顺应性分析:开发软件进行仿真与后处理
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvsmt.2022.10054257
C. Dias, J. Landre
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引用次数: 0
Variable transmission ratio and active steering control for steer-by-wire steering 可变传动比和主动转向控制转向线控转向
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvsmt.2022.10056502
Xiao-bin Fan, Gengxin Qi, Bin Zhao
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引用次数: 0
Research on the shift rule of two-speed transmission in pure electric van 纯电动货车双速变速器换挡规律研究
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvsmt.2022.128177
Haiyan Long, Zhitao Wang, Jiajun Wang, Yongpo Li, Xuewen Hui, Senqi Tan
{"title":"Research on the shift rule of two-speed transmission in pure electric van","authors":"Haiyan Long, Zhitao Wang, Jiajun Wang, Yongpo Li, Xuewen Hui, Senqi Tan","doi":"10.1504/ijvsmt.2022.128177","DOIUrl":"https://doi.org/10.1504/ijvsmt.2022.128177","url":null,"abstract":"","PeriodicalId":35145,"journal":{"name":"International Journal of Vehicle Systems Modelling and Testing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66698875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on power transmission optimisation of dual motor coupling drive for pure electric car based on genetic algorithm 基于遗传算法的纯电动汽车双电机耦合驱动动力传递优化研究
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvsmt.2022.10053168
Zhenfei Lu, Yiqing Yuan, Xingjian Wu, Qingyong Zhang, Saiyun Xu
{"title":"Research on power transmission optimisation of dual motor coupling drive for pure electric car based on genetic algorithm","authors":"Zhenfei Lu, Yiqing Yuan, Xingjian Wu, Qingyong Zhang, Saiyun Xu","doi":"10.1504/ijvsmt.2022.10053168","DOIUrl":"https://doi.org/10.1504/ijvsmt.2022.10053168","url":null,"abstract":"","PeriodicalId":35145,"journal":{"name":"International Journal of Vehicle Systems Modelling and Testing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66698556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Investigation of antilock braking system performance under tyre-road interaction parameters using CarSim 基于CarSim的轮胎-路面相互作用参数下防抱死制动系统性能研究
Q4 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijvsmt.2022.10056504
Sarthak Murarka, Dhananjay Poddar, Rahul Jain, P. Baskar
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引用次数: 0
Effects of international roughness index on vehicle emissions 国际粗糙度指数对汽车排放的影响
Q4 Engineering Pub Date : 2021-06-20 DOI: 10.1504/ijvsmt.2021.10038932
Priscilla Oliveira Azevedo, Ernesto Ferreira Nobre Júnior, A. E. Arantes
Pavement conditions, such as roughness, measured by the international roughness index (IRI) play an essential role in improving vehicle fuel economy and GHG emission reduction. Considering this, the objective of this study was to investigate the relationship between IRI and vehicle emissions, derived from the HDM-4 model. IRI and speed values were collected for every 100 m for two road segments located in Brazil, State of Ceare, using a smartphone app called SmartIRI. The IRI values were inserted in the HDM-4 model, as well as the vehicle and road characteristics, in order to derive Instantaneous Fuel Consumption (IFC) and tailpipe emissions (TPE) for CO2, NOx, CO, SO2, HC and PM. The correlations between IRI and speed reached 99.8%. Regarding the relationship between IFC and the tailpipe emissions (TPE), ~49% and 63-64% of the HC and CO tailpipe emissions could be explained by fuel consumption and IRI variations, respectively.
通过国际粗糙度指数(IRI)测量的路面状况,如粗糙度,在提高车辆燃油经济性和减少温室气体排放方面发挥着重要作用。考虑到这一点,本研究的目的是调查IRI与HDM-4模型得出的车辆排放之间的关系。使用名为SmartIRI的智能手机应用程序,对位于巴西塞阿雷州的两个路段每100米收集一次IRI和速度值。将IRI值以及车辆和道路特性插入HDM-4模型中,以得出CO2、NOx、CO、SO2、HC和PM的瞬时燃料消耗量(IFC)和尾气排放量(TPE)。IRI与速度之间的相关性达到99.8%。关于IFC与尾气排放量之间的关系,HC和CO尾气排放的~49%和63-64%可以分别用燃料消耗和IRI变化来解释。
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引用次数: 0
Research on speed estimation of hub-motor vehicle based on multi-sensor information fusion 基于多传感器信息融合的轮毂机动车辆速度估计研究
Q4 Engineering Pub Date : 2021-06-20 DOI: 10.1504/ijvsmt.2021.10038929
Mingyue Zhang, Xiao-bin Fan, Jing Gan
Accurate acquisition of longitudinal and lateral velocity of the vehicle plays an important role in the modern automobile control system. In this paper, the vehicle speed test system is composed of multiple sensors, data acquisition board (NI cDAQ9137) and LabVIEW software. The real-time acquisition of front-wheel angle, wheel speed, longitudinal acceleration, lateral acceleration, and yaw velocity of the hub-motor vehicle is completed by using the speed measuring system. Based on the real road test results, the vehicle speed estimation is obtained by Kalman filter technology and compared with the reference vehicle dynamics model. The comparison results show that the vehicle speed estimation has high accuracy and can meet the requirements of state parameter estimation. The algorithm has the advantages of simple structure, small computation and easy implementation and can provide more information for the automobile control system.
精确获取车辆的纵向和横向速度在现代汽车控制系统中起着重要作用。本文的车速测试系统由多个传感器、数据采集板(NI cDAQ9137)和LabVIEW软件组成。利用该测速系统实现了轮毂机动车前轮角、轮速、纵向加速度、横向加速度和横摆角速度的实时采集。在实际道路试验结果的基础上,利用卡尔曼滤波技术获得了车速估计值,并与参考车辆动力学模型进行了比较。比较结果表明,车辆速度估计具有较高的精度,能够满足状态参数估计的要求。该算法具有结构简单、计算量小、易于实现的优点,可以为汽车控制系统提供更多的信息。
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引用次数: 2
ONCAR: an ontology-based approach for car automation modelling ONCAR:一种基于本体的汽车自动化建模方法
Q4 Engineering Pub Date : 2021-06-20 DOI: 10.1504/ijvsmt.2021.115815
Achraf Lyazidi, S. Mouline
Smart cars are vehicles conceived with technological components to ease the driving and the management of the car, and to assist drivers with safety and security, energy saving and comfort services. However, the design of these complex systems involves diverse aspects including automated behaviours and user's needs and information. A modelling language with a semantic aspect will allow a close modelisation to these requirements. Also, adequate design methods to ensure the effectiveness of such systems are needed. Yet, research to design intelligent vehicles is still limited. In this paper, we aim to offer a complete design method. For that, we define a complete ontology for car automation.
智能汽车是一种具有技术组件的汽车,旨在简化驾驶和汽车管理,并为驾驶员提供安全保障、节能和舒适服务。然而,这些复杂系统的设计涉及多个方面,包括自动化行为、用户需求和信息。具有语义方面的建模语言将允许对这些需求进行密切的建模。此外,还需要适当的设计方法来确保此类系统的有效性。然而,设计智能汽车的研究仍然有限。在本文中,我们的目的是提供一个完整的设计方法。为此,我们定义了一个完整的汽车自动化本体。
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引用次数: 0
期刊
International Journal of Vehicle Systems Modelling and Testing
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