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Battery management systems (BMS) are used in many battery-powered industries and industrial plants. Commercial system for more efficient battery operation and battery saving the state is non-destructive. This article validates his existing BMS technique and presents it in a new design. In below paper a generalized and reliable BMS methodology is proposed. Main advantages of the proposed system to existing systems is this BMS excels in providing fault-tolerant capabilities and battery protection. Proposed BMS consists of a series of intelligent battery modules (SBMs). This enables battery balancing, monitoring and battery protection for various battery cells. BMS can only monitor battery status. Alert the user with a battery indicator. But for this project I used internet Things (IoT) technology that can directly notify remote users. Currently, by using The Internet of Things can remotely notify users directly. User can check the battery Get your status on your smartphone or computer dashboard from anywhere in the world.
Keywords:
BMS, ESP32, Cell Balancing
Cite Article:
"Battery Management System with Battery Life Prediction Model", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2092 - 2098, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305195.pdf
Downloads:
000205086
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator