Optimization of a Hybrid Energy Stor...
Lesiuta, Eric J.

 

  • Optimization of a Hybrid Energy Storage System for Electric Vehicles Using Machine Learning Methods.
  • 紀錄類型: 書目-電子資源 : Monograph/item
    書名/作者: Optimization of a Hybrid Energy Storage System for Electric Vehicles Using Machine Learning Methods.
    作者: Lesiuta, Eric J.
    出版者: Ann Arbor : : ProQuest Dissertations & Theses, , 2016
    面頁冊數: 98 p.
    附註: Source: Masters Abstracts International, Volume: 56-01.
    Contained By: Masters Abstracts International56-01(E).
    標題: Electrical engineering.
    標題: Computer engineering.
    ISBN: 9781369115031
    摘要、提要註: In electric vehicles, batteries are unable to entirely store the large amount of power from regenerative braking which is generated over a short time period. Batteries also have a lower efficiency when required to supply peaking power. Alternatively supercapacitors can handle peaking power at the expense of lower energy storage capacities. This is why hybrid energy storage systems using a battery and a supercapacitor are being researched. There exist multiple configurations and control strategies for these systems and recently some are beginning to take drive cycle data into consideration.
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