This review article describes the basic concepts of electric vehicles(EVs)and explains the developments made from ancient times to till date leading to performance improvement of the electric vehicles.It also presents...This review article describes the basic concepts of electric vehicles(EVs)and explains the developments made from ancient times to till date leading to performance improvement of the electric vehicles.It also presents the thorough review of various components and energy storage system(ESS)used in electric vehicles.The main focus of the paper is on batteries as it is the key component in making electric vehicles more environment-friendly,cost-effective and drives the EVs into use in day to day life.Various ESS topologies including hybrid combination technologies such as hybrid electric vehicle(HEV),plug-in HEV(PHEV)and many more have been discussed.These technologies are based on different combinations of energy storage systems such as batteries,ultracapacitors and fuel cells.The hybrid combination may be the perspective technologies to support the growth of EVs in modern transportation.The advanced charging systems may also play a major role in the roll-out of electric vehicles in the future.The general strategies of advanced charging systems are explained to highlight the importance of fast charging time with high amount of power and its cost-effectiveness for electric vehicles.Furthermore,the battery pack designing calculation is briefly explained along with all mechanical,electrical and environmental battery tests,which helps in the evaluation of batteries.Moreover,this paper also has a brief summarizing with the help of a flow chart,which clearly demonstrates all the parts of electric vehicles in a much simpler way.展开更多
The paper deals with the application of Volterra bound Interval type−2 fuzzy logic techniques in power quality assessment.This work proposes a new layout for detection,localization and classification of various types ...The paper deals with the application of Volterra bound Interval type−2 fuzzy logic techniques in power quality assessment.This work proposes a new layout for detection,localization and classification of various types of power quality events.The proposed method exploits Volterra series for the extraction of relevant features,which are used to recognize different PQ events by Interval type-2 fuzzy logic based classifier.Numerous single as well as multiple powers signal disturbances have been simulated to testify the efficiency of the proposed technique.This time–frequency analysis results in the clear visual detection,localization,and classification of the different power quality events.The simulation results signify that the proposed scheme has a higher recognition rate while classifying single and multiple power quality events unlike other methods.Finally,the proposed method is compared with SVM,feed forward neural network and type−1 Fuzzy logic system based classifier to show the efficacy of the proposed technique in classifying the Power quality events.展开更多
基金Lithium-ion Batteries Technology Lab,Department of Applied Physics,Delhi Technological University,New Delhi for providing support to carry out this research work。
文摘This review article describes the basic concepts of electric vehicles(EVs)and explains the developments made from ancient times to till date leading to performance improvement of the electric vehicles.It also presents the thorough review of various components and energy storage system(ESS)used in electric vehicles.The main focus of the paper is on batteries as it is the key component in making electric vehicles more environment-friendly,cost-effective and drives the EVs into use in day to day life.Various ESS topologies including hybrid combination technologies such as hybrid electric vehicle(HEV),plug-in HEV(PHEV)and many more have been discussed.These technologies are based on different combinations of energy storage systems such as batteries,ultracapacitors and fuel cells.The hybrid combination may be the perspective technologies to support the growth of EVs in modern transportation.The advanced charging systems may also play a major role in the roll-out of electric vehicles in the future.The general strategies of advanced charging systems are explained to highlight the importance of fast charging time with high amount of power and its cost-effectiveness for electric vehicles.Furthermore,the battery pack designing calculation is briefly explained along with all mechanical,electrical and environmental battery tests,which helps in the evaluation of batteries.Moreover,this paper also has a brief summarizing with the help of a flow chart,which clearly demonstrates all the parts of electric vehicles in a much simpler way.
文摘The paper deals with the application of Volterra bound Interval type−2 fuzzy logic techniques in power quality assessment.This work proposes a new layout for detection,localization and classification of various types of power quality events.The proposed method exploits Volterra series for the extraction of relevant features,which are used to recognize different PQ events by Interval type-2 fuzzy logic based classifier.Numerous single as well as multiple powers signal disturbances have been simulated to testify the efficiency of the proposed technique.This time–frequency analysis results in the clear visual detection,localization,and classification of the different power quality events.The simulation results signify that the proposed scheme has a higher recognition rate while classifying single and multiple power quality events unlike other methods.Finally,the proposed method is compared with SVM,feed forward neural network and type−1 Fuzzy logic system based classifier to show the efficacy of the proposed technique in classifying the Power quality events.
