No. | Title・Author (Affiliation) |
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047 |
Recovery and Lifespan Extension of Lead Acid Battery by Carbon Nanotubes (First Report) Takashi Kimura (Kijiku Consulting)・Kuniyasu Sasaki (Desion)・Takeshi Kawagoshi (Core Business) The technology of stably dispersing carbon nanotubes into a liquid has been applied to lead-acidbatteries. It is reported that the reduction reaction of lead sulfate crystals has been promoted, leading tothe extension and recovery of the lifespan of deteriorated lead-acid batteries. This technology hasalready been introduced to the market, and the extension and recovery eff ects on commonly availablelead acid batteries have been confi rmed. Therefore, it is also reported on the performance data based onaccumulated results. |
048 |
Systematic Experimental Study and Model Construction of Reversible Degradation of Lithium-Ion Batteries Takashi Yamamoto・Hiroki Fujita (Mazda) LIB reaction unevenness can be easily predicted by using pressure distribution as a proxy. |
049 |
In-Service State of Health Estimator for On-Board Battery Storage Systems (Part 3) Kohei Maruchi・Takahiro Yamamoto・Hisaaki Hatano・Atsushi Inamura (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. |
050 |
Pre-Feasibility Study on Detecting Increased Risk of Thermal Runaway for Batteries using the Charging Curve Analysis as a Non-Destructive Diagnostic Method Kenichiroh Koshika (NTSEL)・Hideki Tsuruga (JET)・Tomokazu Morita (Toshiba)・Keizoh Honda (JET) A pre-feasibility study was conducted to detect increased risk of thermal runaway for single cell by the Charging curve analysis. Cycled cells with lithium plating were prepared as samples with increased risk of thermal runaway. The increased risk of thermal runaway was evaluated experimentally with thermal runaway tests using laser irradiation. The Charging curve analysis is one of the non-destructive diagnostic methods based on electrochemistry. The Charging curve analysis detected the lithium plating in the cycled cells, demonstrating its potential as a non-destructive diagnostic method for increased risk of thermal runaway. |
051 |
Verification of Non-Destructive Diagnosis of Battery Internal State using charging Curve Analysis for SOH/SOS Estimation of EV Batteries Tomokazu Morita (Toshiba)・Hideki Tsuruga・Keizoh Honda (JET)・Kenichiroh Koshika (NTSEL) We verified battery capacity estimation and lithium precipitation detection using charging curve analysis for application to SOH/SOS diagnosis of EV batteries. In this presentation, as a detailed principle verification of non-destructive diagnosis, we compared and contrasted the results of cycle deterioration tests for single cells, the results of decomposition analysis of cells after deterioration, and the internal state estimation based on charging curve analysis, and considered the validity of the estimation. |
052 |
Consideration of Charging Stations using Natural Energy Masato Shirakata (Shirakataconsultants)・Shinnichi Saitou (Fine Eco Solution)・Yusuke Kume (KMTec)・Shinji Maezono (Mobility Energy Circulation) For the spread of electric vehicles, it is essential to expand the number of car charging stations. |