An estimation of lithium-ion battery state of health – ageing-included modelling and experimental studies
Martyna Ekiert 1  
,  
Piotr Mróz 1  
,  
Piotr Górny 1  
,  
Tadeusz Uhl 1  
 
 
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AGH University of Science and Technology
CORRESPONDING AUTHOR
Martyna Ekiert   

AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Polska
Publication date: 2016-06-04
Submission date: 2016-04-05
Final revision date: 2016-05-03
Acceptance date: 2016-05-04
 
Diagnostyka 2016;17(2):25–34
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ABSTRACT
In this paper we present a study on Li-Ion Battery (LIB) modelling, including battery ageing profile, as a ground for development of state of health (SoH) prediction and monitoring system. An influence of LIB ageing was included by the mean of ageing module, based on voltage, resistance and capacity characteristics, resulting from preliminary experimental measurements. Our model, based on equivalent circuit model (ECM) and parameter estimation procedure, was implemented in MATLAB software and then validated. The simulation results are used for battery SoH estimation, which may be use in a future to optimize the conditions of LIB cycling and therefore extend the battery lifetime.
eISSN:2449-5220
ISSN:1641-6414