Pub Date : 2020-01-01DOI: 10.1504/ijehv.2020.10032414
Z. Asus, E. Aglzim, D. Chrenko, L. L. Moyne
{"title":"Energetic macroscopic representation and inversion based control of fuel cell in a series hybrid race vehicle system","authors":"Z. Asus, E. Aglzim, D. Chrenko, L. L. Moyne","doi":"10.1504/ijehv.2020.10032414","DOIUrl":"https://doi.org/10.1504/ijehv.2020.10032414","url":null,"abstract":"","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66765173","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 : 2020-01-01DOI: 10.1504/IJEHV.2020.10035282
Kalyan Kumar Koppolu, K. Anuradha, M. S. Kalvathi
Dual inverter fed open-end 3O induction motor drive (OEW-IMD) with different dc-link voltages can perform four-level (4L) realisation. Now the earlier scheme operates with high conduction losses and dv/dt at particular voltage symmetries that effects overall efficiency. This paper proposes the effective discontinuous decoupled SVPWM (EDDPWM) scheme, which deals the DD-PWM with a concept of effective time employment to high voltage side inverter and low voltage side inverter independently that are labelled as EDDPWM-1 and EDDPWM-2, respectively. A factor variable k relating to active time of vectors application is presented. For k is varied from 10% to 100% of individual inverters that effects both individual and net inverter voltage vectors of a dual inverter. Therefore, the effect of factor k on ripple content, harmonic spectra of motor currents for insight of torque ripple, and different characteristics are analysed. These proposed methods achieved flexible performance enhancement compared to previous methods.
{"title":"Analysis of effective discontinuous decoupled PWMS for a four-level open end winding induction motor drive through stator flux ripple","authors":"Kalyan Kumar Koppolu, K. Anuradha, M. S. Kalvathi","doi":"10.1504/IJEHV.2020.10035282","DOIUrl":"https://doi.org/10.1504/IJEHV.2020.10035282","url":null,"abstract":"Dual inverter fed open-end 3O induction motor drive (OEW-IMD) with different dc-link voltages can perform four-level (4L) realisation. Now the earlier scheme operates with high conduction losses and dv/dt at particular voltage symmetries that effects overall efficiency. This paper proposes the effective discontinuous decoupled SVPWM (EDDPWM) scheme, which deals the DD-PWM with a concept of effective time employment to high voltage side inverter and low voltage side inverter independently that are labelled as EDDPWM-1 and EDDPWM-2, respectively. A factor variable k relating to active time of vectors application is presented. For k is varied from 10% to 100% of individual inverters that effects both individual and net inverter voltage vectors of a dual inverter. Therefore, the effect of factor k on ripple content, harmonic spectra of motor currents for insight of torque ripple, and different characteristics are analysed. These proposed methods achieved flexible performance enhancement compared to previous methods.","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66764857","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 : 2020-01-01DOI: 10.1504/IJEHV.2020.10035270
R. Yaqub, K. Heidary
Media reports show that electric vehicles (EVs) still outnumber public charging stations by more than six to one, which is consistent with the early stage of electric car deployment. Thus finding charging stations may be a daunting task for EV drivers. Though the issue can be dealt with by providing online directories, web-based charging station locators, global positioning system (GPS) assisted gears, however, these methods are not adequate, because they do not help EV drivers automatically discover and select the most qualified EV charging station. Thus it will be frustrating for a driver to reach a certain location, or multiple locations, and not find a service because of gird inadequacy, long waiting queue, neighbourhood safety, or the value he was looking for. This paper introduces a method and apparatus based on which the smart client installed in EV would automatically discover, shortlist, and select, or to recommend the EV driver, the most qualified EV charging station.
{"title":"Automatic discovery and selection of most qualified electric vehicle charging station","authors":"R. Yaqub, K. Heidary","doi":"10.1504/IJEHV.2020.10035270","DOIUrl":"https://doi.org/10.1504/IJEHV.2020.10035270","url":null,"abstract":"Media reports show that electric vehicles (EVs) still outnumber public charging stations by more than six to one, which is consistent with the early stage of electric car deployment. Thus finding charging stations may be a daunting task for EV drivers. Though the issue can be dealt with by providing online directories, web-based charging station locators, global positioning system (GPS) assisted gears, however, these methods are not adequate, because they do not help EV drivers automatically discover and select the most qualified EV charging station. Thus it will be frustrating for a driver to reach a certain location, or multiple locations, and not find a service because of gird inadequacy, long waiting queue, neighbourhood safety, or the value he was looking for. This paper introduces a method and apparatus based on which the smart client installed in EV would automatically discover, shortlist, and select, or to recommend the EV driver, the most qualified EV charging station.","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66764793","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 : 2020-01-01DOI: 10.1504/ijehv.2020.10032415
Jian Wang, Jun Yang, Peng Yu
{"title":"Research on high speed avoidance path tracking of pure electric vehicles","authors":"Jian Wang, Jun Yang, Peng Yu","doi":"10.1504/ijehv.2020.10032415","DOIUrl":"https://doi.org/10.1504/ijehv.2020.10032415","url":null,"abstract":"","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"150 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66764720","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 : 2020-01-01DOI: 10.1504/ijehv.2020.10027258
thisAuthorFirstName thisAuthorSurname
{"title":"Brake blending and torque vectoring of road electric vehicles: a flexible approach based on smart torque allocation","authors":"thisAuthorFirstName thisAuthorSurname","doi":"10.1504/ijehv.2020.10027258","DOIUrl":"https://doi.org/10.1504/ijehv.2020.10027258","url":null,"abstract":"","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66765089","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 : 2020-01-01DOI: 10.1504/ijehv.2020.10025991
A. Babu, P. M. Kumar, G. Rao
The world is at a cusp of major transition to fuel cell technology. Water management is of prime importance in air-breathing fuel cells (ABFCs). Inadequate water management leads to the dehydration or flooding which affects the performance of fuel cell. The paper addresses the issues of water management in ABFC by a novel method. Understanding of flooding and dehydration states is presented through experimental investigations. Experiments are conducted at various operating conditions to identify dehydration, normal or flooding states using easily measurable parameters like cell temperature, voltage and current. Preliminarily, by considering iR drop as a distinguishing parameter, dehydration and flooding operating states are distinguished.
{"title":"A novel diagnostic technique to detect the failure mode operating states of an air-breathing fuel cell used in fuel cell vehicles","authors":"A. Babu, P. M. Kumar, G. Rao","doi":"10.1504/ijehv.2020.10025991","DOIUrl":"https://doi.org/10.1504/ijehv.2020.10025991","url":null,"abstract":"The world is at a cusp of major transition to fuel cell technology. Water management is of prime importance in air-breathing fuel cells (ABFCs). Inadequate water management leads to the dehydration or flooding which affects the performance of fuel cell. The paper addresses the issues of water management in ABFC by a novel method. Understanding of flooding and dehydration states is presented through experimental investigations. Experiments are conducted at various operating conditions to identify dehydration, normal or flooding states using easily measurable parameters like cell temperature, voltage and current. Preliminarily, by considering iR drop as a distinguishing parameter, dehydration and flooding operating states are distinguished.","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66765004","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 : 2020-01-01DOI: 10.1504/ijehv.2020.10025992
R. Goswami, G. Tripathi
India, one of the fastest growing economies, has been a front-runner in fulfilling its commitments towards a cleaner Earth. In this pursuit, it intends to adopt electric vehicles (EVs) to the tune of 30% by 2030. Central and state governments of India have launched several financial incentives to encourage adoption of EVs. While considering various adoption rates of EVs from 5% to 30%, the requirements of additional amounts of electricity and various types of charging stations to feed power to EVs are estimated. At 30% adoption rate, about 140 million EVs (include different categories of vehicles studied in this paper) may become the part of transportation system and correspondingly need about 24,600 MWh of electricity daily. In the high density areas of EVs, such as bus depots, residential complexes, malls etc., large power may be needed at a single point. Thus, it may require sufficient receiving substation capacity and an equivalent high-voltage distribution network.
{"title":"Augmentation of charging infrastructure for electric vehicles growth in India","authors":"R. Goswami, G. Tripathi","doi":"10.1504/ijehv.2020.10025992","DOIUrl":"https://doi.org/10.1504/ijehv.2020.10025992","url":null,"abstract":"India, one of the fastest growing economies, has been a front-runner in fulfilling its commitments towards a cleaner Earth. In this pursuit, it intends to adopt electric vehicles (EVs) to the tune of 30% by 2030. Central and state governments of India have launched several financial incentives to encourage adoption of EVs. While considering various adoption rates of EVs from 5% to 30%, the requirements of additional amounts of electricity and various types of charging stations to feed power to EVs are estimated. At 30% adoption rate, about 140 million EVs (include different categories of vehicles studied in this paper) may become the part of transportation system and correspondingly need about 24,600 MWh of electricity daily. In the high density areas of EVs, such as bus depots, residential complexes, malls etc., large power may be needed at a single point. Thus, it may require sufficient receiving substation capacity and an equivalent high-voltage distribution network.","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66765048","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}
A fuzzy PI speed controller based on fuzzy control theory is proposed, which makes the drive control system of electric vehicle insensitive to disturbance and parameter change. The mathematical model of permanent magnet synchronous motor (PMSM) in d-q reference frame is established, fuzzy PI speed controller is designed based on fuzzy control theory, and simulation models of PMSM based on fuzzy PI control theory and sliding mode control theory are built in this paper. Two simulation models are simulated and analysed by Simulink, and simulation result shows that fuzzy PI control has faster dynamic response speed, better dynamic performance and better antiinterference ability than sliding mode control. Therefore, fuzzy PI control is an ideal control method, which has a certain reference value in vector control of PMSM for electric vehicle.
{"title":"PMSM control for electric vehicle based on fuzzy PI","authors":"Qiping Chen, Sheng Kang, Li Zeng, Q. Xiao, Conghui Zhou, Wu Mingming","doi":"10.1504/ijehv.2020.10025988","DOIUrl":"https://doi.org/10.1504/ijehv.2020.10025988","url":null,"abstract":"A fuzzy PI speed controller based on fuzzy control theory is proposed, which makes the drive control system of electric vehicle insensitive to disturbance and parameter change. The mathematical model of permanent magnet synchronous motor (PMSM) in d-q reference frame is established, fuzzy PI speed controller is designed based on fuzzy control theory, and simulation models of PMSM based on fuzzy PI control theory and sliding mode control theory are built in this paper. Two simulation models are simulated and analysed by Simulink, and simulation result shows that fuzzy PI control has faster dynamic response speed, better dynamic performance and better antiinterference ability than sliding mode control. Therefore, fuzzy PI control is an ideal control method, which has a certain reference value in vector control of PMSM for electric vehicle.","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66764521","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 : 2020-01-01DOI: 10.1504/IJEHV.2020.10035265
V. Dileepan, J. Jayakumar
The selection of energy storage system is very crucial for electric vehicles. It should have good energy density, considerable power density and also it must be light weight. So a battery with considerably high energy density must be used in electric vehicles. Lithium ion batteries are very much preferred as electric vehicle batteries. They have high energy density, high life cycle and smooth operation. But the problem related with lithium batteries is they have high temperature sensitivity, and their operation will be affected by over current charging and over current discharging beyond their maximum rated values and also influenced by driving conditions and performance of motors used. So battery management, control and optimisation system is essential in electric vehicle energy storage battery packs. This paper is a review of the design of a novel battery management and control system for lithium ion batteries for performance improvement in electric vehicles.
{"title":"Analysis of performance improvement in energy storage system for electric vehicles: a review","authors":"V. Dileepan, J. Jayakumar","doi":"10.1504/IJEHV.2020.10035265","DOIUrl":"https://doi.org/10.1504/IJEHV.2020.10035265","url":null,"abstract":"The selection of energy storage system is very crucial for electric vehicles. It should have good energy density, considerable power density and also it must be light weight. So a battery with considerably high energy density must be used in electric vehicles. Lithium ion batteries are very much preferred as electric vehicle batteries. They have high energy density, high life cycle and smooth operation. But the problem related with lithium batteries is they have high temperature sensitivity, and their operation will be affected by over current charging and over current discharging beyond their maximum rated values and also influenced by driving conditions and performance of motors used. So battery management, control and optimisation system is essential in electric vehicle energy storage battery packs. This paper is a review of the design of a novel battery management and control system for lithium ion batteries for performance improvement in electric vehicles.","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66764781","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 : 2020-01-01DOI: 10.1504/IJEHV.2020.10035277
D. Vashist, Farhanis Mukhtar
Automotive pollutants include CO, NOx, HC, PM (mostly soot) & SOx. India has decided to implement BS-VI norms by April 2020. Auto sector is also likely to switch towards electric mobility. In this research a comparative study in terms of financial and social-economic is made between challenges to be faced by auto sector shifting toward electric mobility and making BS VI compliant vehicles. For the analysis the e2o Plus of Mahindra & Mahindra and the Alto 800 LXI of Maruti Suzuki which are similar in size and volume, but powered by two different sources were chosen. It was observed that shorter mileage, frequent battery recharging, frequent maintenance and least charging infrastructure are areas which have to be addressed by auto industry for commercial viability. Lithium ion battery is least suitable and sodium ion battery is under research trials. This research recommends a hybrid model to be adopted before switching to electric mobility.
{"title":"Technical analysis for implementing BS-VI automotive emissions norms with respect to electric vehicle production by 2020 in India","authors":"D. Vashist, Farhanis Mukhtar","doi":"10.1504/IJEHV.2020.10035277","DOIUrl":"https://doi.org/10.1504/IJEHV.2020.10035277","url":null,"abstract":"Automotive pollutants include CO, NOx, HC, PM (mostly soot) & SOx. India has decided to implement BS-VI norms by April 2020. Auto sector is also likely to switch towards electric mobility. In this research a comparative study in terms of financial and social-economic is made between challenges to be faced by auto sector shifting toward electric mobility and making BS VI compliant vehicles. For the analysis the e2o Plus of Mahindra & Mahindra and the Alto 800 LXI of Maruti Suzuki which are similar in size and volume, but powered by two different sources were chosen. It was observed that shorter mileage, frequent battery recharging, frequent maintenance and least charging infrastructure are areas which have to be addressed by auto industry for commercial viability. Lithium ion battery is least suitable and sodium ion battery is under research trials. This research recommends a hybrid model to be adopted before switching to electric mobility.","PeriodicalId":43639,"journal":{"name":"International Journal of Electric and Hybrid Vehicles","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66764844","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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