• Session No.40 R&D Trends in Energy Storage Sysmtem for Automobiles and Related Facilities (OS)
  • May 22Room G314+G31513:05-13:55
  • Chair: Noriko Yoshizawa (AIST)
Contents
Energy storage system has been utilized mainly from the viewpoint of energy conservation and performance improvement in automobiles. On the other hand, recent global trends for achieving carbon neutrality urge us to discuss new technologies for further electlification of automobiles as well as new roles of stationary energy systems. In this OS, R&D topics in automobile-related energy storage system, including battery devices and their application,evaluation and analysis of energy storage system, will be reported to contribute to the development of automobiles in next generation and the progress of social infrastructure.
Committee
Energy Storage System Technologies Committee
Organizer
Noriko Yoshizawa (National Institute of Advanced Industrial Science and Technology), Makoto Ogawa (Isuzu Advanced Engineering Center), kazuhito Kishi (RIKOH), Manabu Watanabe (Nissan Motor)
For presentations that will not be available video streaming after congress, a “✕” is displayed in the “Video” column, so please check.
No. Video Title・Author (Affiliation)
1

In-service State of Health Estimator for On-Board Battery Storage Systems (Part 4)

Kohei Maruchi・Takahiro Yamamoto・Hisaaki Hatano (Toshiba)

We proposed SoH estimation method for on-board lithium-ion batteries using operation data such as voltage, current, and temperature. This method estimates battery capacity by referring statistically to operation data from deteriorated battery cells and does not require special measurement or equipment.
In this presentation, we show that the method works even for usage other than EV such as BESS for PV-Solar from repurposing of batteries’ point of view.

2

Demonstrating non-destructive safety diagnosis for lithium-ion battery modules based on charging curve analysis data

Kenichiroh KOSHIKA (NTSEL)・Hideki TSURUGA (JET)・Tomokazu MORITA (TOSHIBA)・Keizoh HONDA (JET)

A non-destructive safety diagnosis for lithium-ion battery modules was demonstrated with experimental data. The charging curve analysis (CCA) was selected for estimating the internal state of the lithium-ion battery cell and the cell operating condition in a module. The safety threshold set by using CCA data was validated by thermal runaway tests for battery cells using an external heating method. The diagnosis for the module revealed not only its safety but also its discharge capacity (SOH). An output image with comprehensive information including indicators to accumulate remaining battery performance value was also displayed.

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