摘要
A wavelet-based power management system is proposed in this paper with a combination of the battery and ultracapacitor(UC)hybrid energy storage system(HESS).The wavelet filter serves as a frequency-based filter for distributing the power between the battery and UC.In order to determine the optimal level of wavelet decomposition as well as the optimal activation power of the wavelet controller,an optimization procedure is established.The proposed frequency-based power management system moderates the usage of battery current,consequently improving its lifetime.Compared with the conventional threshold-based power management systems,the proposed system has the advantage of enhanced battery and UC power management.A LiFePO4 battery is considered and its life loss is modeled.As a case study,an electric motorcycle is evaluated in the federal test procedure(FTP)driving cycle.Compared with a conventional energy storage system(ESS)and a state of available power(SoP)management systems,the results show an improvement for the battery lifetime by 115%and 3%,respectively.The number of battery replacements is increased,and the energy recovery is improved.The 10-year overall costs of the proposed HESS strategy using wavelet are1500 dollars lower,compared with the ESS.
A wavelet-based power management system is proposed in this paper with a combination of the battery and ultracapacitor（UC） hybrid energy storage system（HESS）. The wavelet filter serves as a frequency-based filter for distributing the power between the battery and UC. In order to determine the optimal level of wavelet decomposition as well as the optimal activation power of the wavelet controller, an optimization procedure is established. The proposed frequency-based power management system moderates the usage of battery current,consequently improving its lifetime. Compared with the conventional threshold-based power management systems,the proposed system has the advantage of enhanced battery and UC power management. A LiFePO4 battery is considered and its life loss is modeled. As a case study, an electric motorcycle is evaluated in the federal test procedure（FTP） driving cycle. Compared with a conventional energy storage system（ESS） and a state of available power（SoP） management systems, the results show an improvement for the battery lifetime by 115% and 3%, respectively. The number of battery replacements is increased,and the energy recovery is improved. The 10-year overall costs of the proposed HESS strategy using wavelet are1500 dollars lower, compared with the ESS.
基金
supported by the Automotive Engineering Research Center(AERC)of Iran University of Science and Technology(IUST)
the Vehicle,Fuel and Environment Research Institute(VFERI)of The University of Tehran.
作者简介
Masoud MASIH-TEHRANI received his Ph.D.degree in mechanical engineering with major in hybrid energy storage systems from University of Tehran(UT),Tehran,Iran,in 2013.He is currently a faculty member and assistant professor at the school of automotive engineering,Iran University of Science and Technology(IUST),Tehran,Iran.His research interests are hybrid energy storage systems,hybrid flywheel vehicles,heavy duty vehicles,vehicle suspension systems,and vehicle control systems,masih@iust.ac.ir;Mohammad Reza HA’IRI YAZDI received his B.Sc.and M.Sc.degrees from Amirkabir University of Technology,Tehran,Iran in 1985 and 1987,respectively,and his Ph.D.degree from Imperial College,London,England in 1990.He was a postdoctoral researcher at Rutherford-Appleton Research Laboratory,Oxford,England from 1990 to 1991.He is currently a Professor of Dynamic Systems and Control in the School of Mechanical Engineering,College of Engineering,University of Tehran,Iran.His research interests include simulation,design and control of dynamic systems,robotics control,vehicle dynamics,modular robotic systems,and robot task and motion planning,myazdi@ut.ac.ir;Vahid ESFAHANIAN received his B.Sc.degree from the University of Illinois at Chicago,USA in 1982 and his M.Sc.and Ph.D.degrees from the Ohio State University,USA,in 1985 and 1991,respectively.He is now a Full Professor in the School of Mechanical Engineering and the head of Vehicle,Fuel,and Environment Research Institute(VFERI),University of Tehran,Iran.His research interests include CFD,battery simulations and hybrid vehicles,evahid@ut.ac.ir;Masoud DAHMARDEH received Ph.D.degree in electrical engineering with major in microelectro-mechanical systems(MEMS)from The University of British Columbia(UBC),Vancouver,Canada,in 2014.He is currently a faculty member and assistant professor at the school of automotive engineering,Iran University of science and technology,Tehran,Iran.His research interests are automotive electronics,microfabrication,micro-electro-mechanical systems,carbon nanotubes(CNT),shape memory alloys(SMA),photonic crystals,active integrated antennas,and radiation,mdahmardeh@iust.ac.ir;Hassan NEHZATI received his B.Sc.and M.Sc.degrees from University of Tehran,Iran at 2010 and 2015,respectively,in mechanical engineering.Since 2005 until now,he is with vehicle,fuel and environment research institute(VFERI),University of Tehran,Iran.His research interests include hybrid vehicles and battery management systems,hassan.nehzati@gmail.com
