荷电状态
电池(电)
电动汽车
汽车工程
电荷(物理)
电动汽车蓄电池
计算机科学
电池组
电压
汽车蓄电池
健康状况
材料科学
作者
Illa Rizianiza,Dian Mart Shoodiqin
出处
期刊:Advances in Science and Technology
日期:2021-02-09
被引量:1
标识
DOI:10.4028/www.scientific.net/ast.104.65
摘要
Batteries have an important thing in development of energy needs. A good performance battery, will support the device it supports. The energy that can save a battery is limited, so the battery will increase its charge and discharge cycles. Incorrect charging and discharging processes can cause battery performance to decrease. Therefore battery management is needed so that the battery can reach the maximum. One aspect of battery management is setting the state which is the ratio of available energy capacitance to maximum energy capacity. One method for estimating load states is the fuzzy logic method, namely by assessing the input and output systems of prediction. Predictor of State of Charge use Mamdani Fuzzy Logic that have temperature and voltage as input variables and State of Charge as output variable. A result of prediction State of Charge battery is represented by the number of Root Mean Square Error. Battery in charge condition has 2.7 for RMSE and level of accuracy 81.5%. Whereas Battery in discharge condition has RMSE 1.5 and level of accuracy 84.7%.
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