VRLA battery state of health estimation based on charging time

(ProQuest: ... denotes formulae omitted.) 1.Introduction Batteries are used in many daily life activities, such as in portable telecommunication equipments, multimedia devices, hybrid electric vehicles (HEV) [1], electric vehicles (EV) [2, 3], energy harvesting, base-transceiver station (BTS) in the...

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Bibliographic Details
Published in:Telkomnika 2019-06, Vol.17 (3), p.1577-1583
Main Authors: Zainuri, Akhmad, Wibawa, Unggul, Rusli, Mochammad, Hasanah, Rini Nur, Harahap, Rosihan Arby
Format: Article
Language:English
Subjects:
Acids
Artificial neural networks
Batteries
Battery chargers
Charging
Control theory
Correlation analysis
Electric communication systems
Electric currents
Electric vehicles
Electrolytes
Electronic devices
Energy
Energy harvesting
Energy storage
Hybrid electric vehicles
Kalman filters
Lead acid batteries
Lithium
Lithium-ion batteries
Methods
Multimedia
Partial differential equations
Portable equipment
Rechargeable batteries
Remote sensors
Wireless communications
Wireless sensor networks
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Summary:(ProQuest: ... denotes formulae omitted.) 1.Introduction Batteries are used in many daily life activities, such as in portable telecommunication equipments, multimedia devices, hybrid electric vehicles (HEV) [1], electric vehicles (EV) [2, 3], energy harvesting, base-transceiver station (BTS) in the telecommunication system [4], wearable computing devices [5], wireless sensor network (WSN) [6, 7] and energy storage in smartgrid networks [8, 9]. By comparing the SoH calculation result and the measurement results, the correlation between the SoH and the related battery charging time can be obtained. 5.Results and Analysis The results of the experiment on the battery voltage during the charging process of five batteries under consideration are given in Table 1, whereas in a form of graphic it is given in Figure 4. [11] Chan CC, Lo EW, Weixiang S. The available capacity computation model based on artificial neural network for lead-acid batteries in electric vehicles. [17] Kim T, Qiao W, Qu L. Online SOC and SOH estimation for multicell lithium-ion batteries based on an adaptive hybrid battery model and sliding-mode observer.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v17i3.12241