Pub Date : 2021-01-01DOI: 10.1504/ijvp.2021.10041314
S.D. Milindar, P. Baskar, S. Prasanna
{"title":"Comprehensive review on dual clutch transmission","authors":"S.D. Milindar, P. Baskar, S. Prasanna","doi":"10.1504/ijvp.2021.10041314","DOIUrl":"https://doi.org/10.1504/ijvp.2021.10041314","url":null,"abstract":"","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66690173","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}
Pub Date : 2021-01-01DOI: 10.1504/IJVP.2021.10036627
Qiuyang Tang, Mengjin Zeng, Gang Guo
{"title":"The effect of peppermint odour on fatigue and vigilance in conditional automated vehicle","authors":"Qiuyang Tang, Mengjin Zeng, Gang Guo","doi":"10.1504/IJVP.2021.10036627","DOIUrl":"https://doi.org/10.1504/IJVP.2021.10036627","url":null,"abstract":"","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66690089","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}
Pub Date : 2021-01-01DOI: 10.1504/IJVP.2021.10037689
H. Cheng, Haisheng Yu, Wenran Geng, Jianwu Zhang, Han Guo
{"title":"Research on regenerative braking strategies for hybrid electric vehicle by co-simulation model","authors":"H. Cheng, Haisheng Yu, Wenran Geng, Jianwu Zhang, Han Guo","doi":"10.1504/IJVP.2021.10037689","DOIUrl":"https://doi.org/10.1504/IJVP.2021.10037689","url":null,"abstract":"","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66690130","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}
Pub Date : 2021-01-01DOI: 10.1504/IJVP.2021.10037693
Kai Yang, Chuan Hu, Yechen Qin, Yanjun Huang, Xiaolin Tang
{"title":"Potential and challenges to improve vehicle energy efficiency via V2X: literature review","authors":"Kai Yang, Chuan Hu, Yechen Qin, Yanjun Huang, Xiaolin Tang","doi":"10.1504/IJVP.2021.10037693","DOIUrl":"https://doi.org/10.1504/IJVP.2021.10037693","url":null,"abstract":"","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66690190","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}
Pub Date : 2020-11-23DOI: 10.1504/ijvp.2020.10033787
M. Vignati, D. Tarsitano, F. Braghin, F. Cheli
Vehicle energy storage systems have a crucial impact on the spreading of hybrid and electric vehicles. Nowadays the most adopted solution is represented by batteries which suffer of ageing that reduces the battery capacity; moreover, the battery recycling at the end of its life is still a challenge and generate pollution. This paper presents a preliminary design of a kinetic energy storage system for city micro-car. The energy is stored by means of flywheel. First, an energetic model of the car powertrain including flywheel and bearings is proposed and used to evaluate the car energy requirement to accomplish its typical journey. Then, material, geometry and motor have been selected to fit all the vehicle space requirements. Then, analysis on the gyroscopic effects induced by the flywheel is shown when it is subjected to car chassis acceleration. Finally, preliminary considerations on bearing layout are drawn by comparing different bearings types.
{"title":"Preliminary design of an alternative energy storage system for a city car based on flywheel","authors":"M. Vignati, D. Tarsitano, F. Braghin, F. Cheli","doi":"10.1504/ijvp.2020.10033787","DOIUrl":"https://doi.org/10.1504/ijvp.2020.10033787","url":null,"abstract":"Vehicle energy storage systems have a crucial impact on the spreading of hybrid and electric vehicles. Nowadays the most adopted solution is represented by batteries which suffer of ageing that reduces the battery capacity; moreover, the battery recycling at the end of its life is still a challenge and generate pollution. This paper presents a preliminary design of a kinetic energy storage system for city micro-car. The energy is stored by means of flywheel. First, an energetic model of the car powertrain including flywheel and bearings is proposed and used to evaluate the car energy requirement to accomplish its typical journey. Then, material, geometry and motor have been selected to fit all the vehicle space requirements. Then, analysis on the gyroscopic effects induced by the flywheel is shown when it is subjected to car chassis acceleration. Finally, preliminary considerations on bearing layout are drawn by comparing different bearings types.","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42338726","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}
Pub Date : 2020-11-23DOI: 10.1504/ijvp.2020.10033774
Li Xueyun, Li Shuang, Zhang Ju
In order to improve the stability and fault tolerance of the control system of the autonomous vehicle in the middle and low speed lane changing, a dual loop weighted trajectory tracking robust control system is designed. Firstly, the lateral displacement transfer function and yaw angle transfer function are derived by combining the mathematical model of trajectory planning and vehicle motion, and the proportion integral differential (PID) control parameters are calculated by mathematical derivation and transfer function reduction. Then, the influence of weighting coefficient on system stability and its determination method are studied by simulation. The results show that the dual-loop weighted control is feasible and effective, and it could provide a good fault tolerance, good control ability, good tracking effect, and small lateral displacement error and yaw angular velocity error for lane changing conditions in the medium and low speed.
{"title":"Robust controller design for trajectory tracking of autonomous vehicle","authors":"Li Xueyun, Li Shuang, Zhang Ju","doi":"10.1504/ijvp.2020.10033774","DOIUrl":"https://doi.org/10.1504/ijvp.2020.10033774","url":null,"abstract":"In order to improve the stability and fault tolerance of the control system of the autonomous vehicle in the middle and low speed lane changing, a dual loop weighted trajectory tracking robust control system is designed. Firstly, the lateral displacement transfer function and yaw angle transfer function are derived by combining the mathematical model of trajectory planning and vehicle motion, and the proportion integral differential (PID) control parameters are calculated by mathematical derivation and transfer function reduction. Then, the influence of weighting coefficient on system stability and its determination method are studied by simulation. The results show that the dual-loop weighted control is feasible and effective, and it could provide a good fault tolerance, good control ability, good tracking effect, and small lateral displacement error and yaw angular velocity error for lane changing conditions in the medium and low speed.","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46964932","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}
Pub Date : 2020-11-23DOI: 10.1504/ijvp.2020.10033777
Pankaj Sharma, Vinod Kumar
Passenger comfort, quality of ride and handling brings a lot of attention and concern of the automotive design engineers. Researchers are working and have introduced approaches like artificial neural network, genetic algorithm, fuzzy and hybrid control techniques have been proposed, modelled and analysed to check their impact on the above mentioned parameters. A new controller based on learning mode of human brain known as brain emotional learning based intelligent controller (BELBIC) and particle swarm optimised brain emotional learning based intelligent controller (PSOBELBIC) optimised by particle swarm optimisation (PSO) is introduced here. Six degrees of freedom (DOF) mathematical model of quarter car along with passenger and four degree of freedom half car is modelled and simulated. The PSOBELBIC gives the best performance with overall improvement of about 26% and 32.54% for speed bumps and 52.79%, 34.58% against random road.
{"title":"Design and analysis of novel bio inspired BELBIC and PSOBELBIC controlled semi active suspension","authors":"Pankaj Sharma, Vinod Kumar","doi":"10.1504/ijvp.2020.10033777","DOIUrl":"https://doi.org/10.1504/ijvp.2020.10033777","url":null,"abstract":"Passenger comfort, quality of ride and handling brings a lot of attention and concern of the automotive design engineers. Researchers are working and have introduced approaches like artificial neural network, genetic algorithm, fuzzy and hybrid control techniques have been proposed, modelled and analysed to check their impact on the above mentioned parameters. A new controller based on learning mode of human brain known as brain emotional learning based intelligent controller (BELBIC) and particle swarm optimised brain emotional learning based intelligent controller (PSOBELBIC) optimised by particle swarm optimisation (PSO) is introduced here. Six degrees of freedom (DOF) mathematical model of quarter car along with passenger and four degree of freedom half car is modelled and simulated. The PSOBELBIC gives the best performance with overall improvement of about 26% and 32.54% for speed bumps and 52.79%, 34.58% against random road.","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45527036","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}
Pub Date : 2020-11-23DOI: 10.1504/ijvp.2020.10033786
Edoardo Samarini, A. Shabana, E. Grossi, A. Somà
Because of the scientific challenges of space explorations, several space agencies are involved in the design of autonomous planetary surface exploration devices. Examples are Mars rovers, designed with the goal of collecting terrain information, including dust, soil, rocks, and liquids. The design of such sophisticated rovers can be enhanced by less reliance on trial-and-error process, building expensive physical models, and time-consuming experimental testing. Physics-based virtual prototyping contributes to an efficient and credible Mars rover designs. In this paper, a new flexible multibody system (MBS) rover model for planetary exploration is developed. Because the rover, a wheeled robot, must be designed to negotiate uneven terrains, the airless wheels must be able to adapt to different soil patterns and harsh operating and environmental conditions. In order to describe the airless-wheel complex geometry and capture its large deformations and rotations, the absolute nodal coordinate formulation (ANCF) finite elements are used. A numerical study is performed to compare the ANCF kinematics and tractive force results with the results of the discrete brush tyre model, widely used in the vehicle-dynamics literature. Several simulation scenarios are considered, including a drop test and acceleration along a straight line. The numerical results obtained are verified using data published in the literature and are used to evaluate the accuracy and computational efficiency of the ANCF airless-tyre modelling approach.
{"title":"Integration of geometry and analysis for the study of continuum-based airless tyres of planetary wheeled robots","authors":"Edoardo Samarini, A. Shabana, E. Grossi, A. Somà","doi":"10.1504/ijvp.2020.10033786","DOIUrl":"https://doi.org/10.1504/ijvp.2020.10033786","url":null,"abstract":"Because of the scientific challenges of space explorations, several space agencies are involved in the design of autonomous planetary surface exploration devices. Examples are Mars rovers, designed with the goal of collecting terrain information, including dust, soil, rocks, and liquids. The design of such sophisticated rovers can be enhanced by less reliance on trial-and-error process, building expensive physical models, and time-consuming experimental testing. Physics-based virtual prototyping contributes to an efficient and credible Mars rover designs. In this paper, a new flexible multibody system (MBS) rover model for planetary exploration is developed. Because the rover, a wheeled robot, must be designed to negotiate uneven terrains, the airless wheels must be able to adapt to different soil patterns and harsh operating and environmental conditions. In order to describe the airless-wheel complex geometry and capture its large deformations and rotations, the absolute nodal coordinate formulation (ANCF) finite elements are used. A numerical study is performed to compare the ANCF kinematics and tractive force results with the results of the discrete brush tyre model, widely used in the vehicle-dynamics literature. Several simulation scenarios are considered, including a drop test and acceleration along a straight line. The numerical results obtained are verified using data published in the literature and are used to evaluate the accuracy and computational efficiency of the ANCF airless-tyre modelling approach.","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47754172","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}
Pub Date : 2020-11-23DOI: 10.1504/ijvp.2020.10033781
J. Zhang, Gang Guo, Yingzhang Wu, Qiuyang Tang, Changshao Liang
The driver is an essential factor in the traffic system, and inexperienced drivers are special high-risk groups. We used electroencephalography (EEG) and reaction time to quantify the differences between experienced and novice drivers' risk perception and braking behaviour in a driving simulator. Twenty-seven participants were asked to drive through a 12-km dynamic scenario with EEG signals recorded simultaneously. There are mainly four frequency bands for human EEG activity: alpha, beta, theta, and delta. The power spectral density (PSD) of beta activity was analysed because it dominated when drivers braked in an emergency. The results indicate that the indicators of β activity and reaction time discriminated between the novice and experienced drivers. The reaction time of drivers was related to the increment of the β activity, indicating that the driver's risk perception stage will affect their risk reaction. The study provides us with the operating performance and internal physiological activities of drivers in the braking process.
{"title":"EEG-based assessment in novice and experienced drivers' braking behaviour during simulated driving","authors":"J. Zhang, Gang Guo, Yingzhang Wu, Qiuyang Tang, Changshao Liang","doi":"10.1504/ijvp.2020.10033781","DOIUrl":"https://doi.org/10.1504/ijvp.2020.10033781","url":null,"abstract":"The driver is an essential factor in the traffic system, and inexperienced drivers are special high-risk groups. We used electroencephalography (EEG) and reaction time to quantify the differences between experienced and novice drivers' risk perception and braking behaviour in a driving simulator. Twenty-seven participants were asked to drive through a 12-km dynamic scenario with EEG signals recorded simultaneously. There are mainly four frequency bands for human EEG activity: alpha, beta, theta, and delta. The power spectral density (PSD) of beta activity was analysed because it dominated when drivers braked in an emergency. The results indicate that the indicators of β activity and reaction time discriminated between the novice and experienced drivers. The reaction time of drivers was related to the increment of the β activity, indicating that the driver's risk perception stage will affect their risk reaction. The study provides us with the operating performance and internal physiological activities of drivers in the braking process.","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49506235","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}
Pub Date : 2020-08-15DOI: 10.1504/ijvp.2020.10031348
Yang Chen, Xiandong Liu, Yingchun Shan, Tian He
By introducing the influence of uncertain factors on the mechanical properties of drive axle housing, this paper investigates the method improving the reliability of the optimisation scheme of a drive axle housing of off-road vehicle. Firstly, the finite element model of the drive axle housing is established, and its simulation is carried out according to the bench test standard. Then the Monte Carlo method is applied to study the influence of uncertain factors on the reliability of the axle housing. And the lightweight design of the axle housing is performed based on the 6σ theory. The result shows that the weight of the axle housing is reduced by 12.48% under the premise of every performance with high reliability.
{"title":"Lightweight design of drive axle housing based on reliability","authors":"Yang Chen, Xiandong Liu, Yingchun Shan, Tian He","doi":"10.1504/ijvp.2020.10031348","DOIUrl":"https://doi.org/10.1504/ijvp.2020.10031348","url":null,"abstract":"By introducing the influence of uncertain factors on the mechanical properties of drive axle housing, this paper investigates the method improving the reliability of the optimisation scheme of a drive axle housing of off-road vehicle. Firstly, the finite element model of the drive axle housing is established, and its simulation is carried out according to the bench test standard. Then the Monte Carlo method is applied to study the influence of uncertain factors on the reliability of the axle housing. And the lightweight design of the axle housing is performed based on the 6σ theory. The result shows that the weight of the axle housing is reduced by 12.48% under the premise of every performance with high reliability.","PeriodicalId":52169,"journal":{"name":"International Journal of Vehicle Performance","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43980447","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}
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