Readiness Status of Artificial Intelligence Applications on Electric Vehicles A mini global review and analysis using the J-TRA method

Andante Hadi Pandyaswargo*, Meilinda Fitriani Nur Maghfiroh, Hiroshi Onoda

*この研究の対応する著者

研究成果: Conference contribution

抄録

The transportation sector is a significant contributor to global greenhouse gas (GHG) emissions. It is estimated that replacing fossil fuel-based vehicles with electric vehicles (EVs) powered by sustainable and renewable energy could contribute to approximately 21% of emission avoidance by 2050. To improve the efficiency of EV operation, various artificial intelligence (AI) technologies have been applied. Examples include charging system optimization, self-driving car technology, and traffic control technology. To understand the current readiness status of those technologies applications, a small database of AI use in EVs that is in practice globally is constructed. There are 23 locations of prototype projects identified. The projects are categorized by the AI type, developer type, size of operation, and readiness status. Readiness status is analysed with the Japan Technology Readiness Assessment (J-TRA) methodology. There are seven analysed parameters: 1) Market, 2) Technology development, 3) System Integration, 4) Sustainability Verification, 5) Safety, 6) Commercialization and 7) Cost and Risk. The results show that while there is a promising market, steady progress in technological development, and verified environmental benefits, more work is needed to ensure safety and integration with the current systems before the technology can reach higher readiness levels of commercialization, cost, and risk-coping mechanisms.

本文言語English
ホスト出版物のタイトルProceedings of the International Conference on Engineering and Information Technology for Sustainable Industry, ICONETSI 2022
出版社Association for Computing Machinery
ISBN(電子版)9781450397186
DOI
出版ステータスPublished - 2022 9月 21
イベント2nd International Conference on Engineering and Information Technology for Sustainable Industry, ICONETSI 2022 - Tangerang, Indonesia
継続期間: 2022 9月 212022 9月 22

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference2nd International Conference on Engineering and Information Technology for Sustainable Industry, ICONETSI 2022
国/地域Indonesia
CityTangerang
Period22/9/2122/9/22

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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