Electrical vehicle safety against battery fires using ai-based battery management system.
By: Sonawane, Manik S
.
Contributor(s): Pawar, Sanjay S.
Publisher: Telangana IUP Publications 2022Edition: Vol.14(3), Aug.Description: 41-50p.Subject(s): EXTC EngineeringOnline resources: Click here
In:
IUP Journal of telecommunicationsSummary: The temperature of lithium-ion batteries rises linearly and is kept within a safe range by the battery management system during normal vehicle operation. However, if external factors or motor current exceeds the standard current limit for a short time, the battery temperature may rise exponentially. If the rate of temperature rises too high and exceeds 250 °C, it causes chemical reaction inside the battery, resulting in thermal discharge. The chemical reaction that occurs due to high temperature is irreversible and can quickly lead to fire, causing the electrical vehicle to go up in flames. An artificial Intelligence-based Battery Management System (BMS) can predict the rise in temperature, monitor safe current level, avoid thermal depletion of the battery, and warn the user. In this study, we propose a modification to the existing BMS to improve performance.
Copyright of IUP Journal of Telecommunications is the property of IUP Publications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2023-0625 |
The temperature of lithium-ion batteries rises linearly and is kept within a safe range by the battery management system during normal vehicle operation. However, if external factors or motor current exceeds the standard current limit for a short time, the battery temperature may rise exponentially. If the rate of temperature rises too high and exceeds 250 °C, it causes chemical reaction inside the battery, resulting in thermal discharge. The chemical reaction that occurs due to high temperature is irreversible and can quickly lead to fire, causing the electrical vehicle to go up in flames. An artificial Intelligence-based Battery Management System (BMS) can predict the rise in temperature, monitor safe current level, avoid thermal depletion of the battery, and warn the user. In this study, we propose a modification to the existing BMS to improve performance.
Copyright of IUP Journal of Telecommunications is the property of IUP Publications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.
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