电池(电)
健康状况
云计算
计算机科学
汽车工程
控制器(灌溉)
铅酸蓄电池
物联网
国家(计算机科学)
电压
嵌入式系统
电气工程
工程类
功率(物理)
操作系统
物理
农学
生物
量子力学
算法
作者
Gopal Krishna,Rajesh Singh,Anita Gehlot
标识
DOI:10.1109/ic3i56241.2022.10072860
摘要
The battery is the most crucial part of a car. Therefore, for best operation, each battery must be restored to its full potential. Lead Acid batteries are typically used in automobile batteries, and they need to undergo meticulous inspection to perform well under all circumstances. Consequently, a more organized battery control system is required to permit continuous monitoring of the battery's functioning. When it comes to batteries, the SoH (State of Health), SoC (State of Charging), and SoD (State of Discharging) are the most important features. Such parameters can be calculated using a number of cogent ways. However, as the battery's components, surroundings, and load will all have an impact on the parameters, such methods cannot produce precise results. A battery that has been overcharged releases gases like oxygen and hydrogen. In addition to attempting to detect the escape of various gases from the battery under overload situations, the Battery Management System (BMS) uses sensors and an STM controller to display the voltage, current, and temperature of the battery. Through the use of IOT and cloud technologies, this study focused on the detection of hydrogen gas released by batteries.
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