期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2019
卷号：17
期号：3
页码：1577-1583
DOI：10.12928/telkomnika.v17i3.12241
出版社：Universitas Ahmad Dahlan
摘要：Battery state of health (SoH) is an important parameter of the battery’s ability to store and deliver
electrical energy. Various methods have been so far developed to calculate the battery SoH, such as
through the calculation of battery impedance or battery capacity using Kalman Filter, Fuzzy theory,
Probabilistic Neural Network, adaptive hybrid battery model, and Double Unscented Kalman Filtering
(D-UKF) algorithm. This paper proposes an approach to estimate the value of battery SoH based on the
charging time measurement. The results of observation and measurements showed that a new and used
batteries would indicate different charging times. Unhealthy battery tends to have faster charging and
discharging time. The undertaken analysis has been focused on finding out the relationship between the
battery SoH and the charging time range. To validate the results of this proposed approach, the use of
battery capacity method has been considered as comparison. It can be concluded that there is a strong
correlation between the two discussed SoH estimation methods, confirming that the proposed method is
feasible as an alternative SoH estimation method to the widely known battery capacity method.
The correlation between the charging-disharging times of healthy and unhealthy batteries is very
prospective to develop a battery charger in the future with a prime advantage of not requiring any sensor
for the data acquisition.
