Study on Power Source Properties Suitable for Volume Minimization in Electric Vehicle Hybrid Power-Source System

Shunya Sakamoto, Atsushi Okada, Kensuke Sasaki, Takashi Kato, Keiichiro Kondo*, Ryo Kimura

*この研究の対応する著者

研究成果: Conference contribution

抄録

In this study, a method to select a suitable source for total volume minimization in hybrid power source system (HPSS), which outputs power by combining a power-type and a energy-type source output, is presented. Minimized total source volume of HPSS are calculated using Karush-Kuhn-Tucker condition. In the calculation, total source volume is an objective function, the total output power and energy of HPSS are constraints and volume of energy-type, power-type source and power limitation of energy-type source are variables on the condition that energy-type and power-type source properties are constants. The study is conducted under the assumption of WL TC as a sample driving pattern. The total source volume of HPSS is calculated with several power-type source properties combination with a specific energy-type source. The results indicate using power-type lithium-ion battery as a power-type source reduces the total HPSS source volume the most and in typical power-type lithium-ion battery selected case, the total HPSS source volume is reduced by 25.0% compared to the source volume consist of a sigale energy source.

本文言語English
ホスト出版物のタイトル2022 International Power Electronics Conference, IPEC-Himeji 2022-ECCE Asia
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1935-1939
ページ数5
ISBN(電子版)9784886864253
DOI
出版ステータスPublished - 2022
イベント2022 International Power Electronics Conference, IPEC-Himeji 2022-ECCE Asia - Himeji, Japan
継続期間: 2022 5月 152022 5月 19

出版物シリーズ

名前2022 International Power Electronics Conference, IPEC-Himeji 2022-ECCE Asia

Conference

Conference2022 International Power Electronics Conference, IPEC-Himeji 2022-ECCE Asia
国/地域Japan
CityHimeji
Period22/5/1522/5/19

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 再生可能エネルギー、持続可能性、環境
  • 電子工学および電気工学
  • 安全性、リスク、信頼性、品質管理
  • 制御と最適化

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