Accession Number : ADA495995


Title :   Wavelet-Transform-Based Power Management of Hybrid Vehicles with Multiple On-board Energy Sources Including Fuel Cell, Battery and Ultracapacitor


Descriptive Note : Journal article


Corporate Author : ARMY TANK AUTOMOTIVE RESEARCH DEVELOPMENT AND ENGINEERING CENTER WARREN MI


Personal Author(s) : Zhang, Xi ; Mi, Chris C ; Masrur, Abul ; Daniszewski, David


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a495995.pdf


Report Date : 12 Sep 2008


Pagination or Media Count : 21


Abstract : A wavelet-transform based strategy is proposed for the power management of hybrid electric vehicles (HEV) with multiple on-board energy sources and energy storage systems including a battery, a fuel cell, and an ultra-capacitor. The proposed wavelet transform algorithm is capable of identifying the high frequency transient and real time power demand of the HEV, and allocating power components with different frequency contents to corresponding sources to achieve an optimal power management control algorithm. By using the wavelet decomposition algorithm, a proper combination can be achieved with a properly sized ultra-capacitor dealing with the chaotic high-frequency components of the total power demand, while the fuel cell and battery deal with the low and medium frequency power demand. Thus the system efficiency and life expectancy can be greatly extended. Simulation and experimental results validated the effectiveness of wavelet-transform based power management algorithm.


Descriptors :   *POWER , *FUEL CELLS , *VEHICLES , *WAVELET TRANSFORMS , ELECTRIC POWER , ENERGY STORAGE , CAPACITORS , VALIDATION , LIFE EXPECTANCY(SERVICE LIFE) , REPRINTS , ALGORITHMS


Subject Categories : Non-electrical Energy Conversion
      Electrochemical Energy Storage
      Surface Transportation and Equipment


Distribution Statement : APPROVED FOR PUBLIC RELEASE