Next Article in Journal
On-line Parameter Estimation Method for IPMSM Based on Decoupling Control
Previous Article in Journal
Workplace Charging: Helping Employees Drive Clean Cars
World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Modelling of Li-ion Batteries Dynamics using Impedance Spectroscopy and Pulse Fitting: EVs Application

IK4-IKERLAN, Pº J. Mª Arizmendiarrieta, 2, 20500 Arrasate-Mondragón, Gipuzkoa, Spain
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2013, 6(3), 644-652; https://doi.org/10.3390/wevj6030644
Published: 27 September 2013
One of the most relevant tasks that must be carried out by a Battery Management System (BMS) is the diagnosis of the battery state. An important part of the algorithms used for determining the State of Charge (SOC) or the State of Health (SOH) requires a cell model to run. The most precise is the model used, the best is the estimation achieved by the algorithm. In this paper, two techniques for obtaining a model of the cell dynamics and calculating its parameters are analyzed: the time domain characterization and the frequency domain or impedance-based characterization. Their principal characteristics and some relevant considerations to take into account are explained, as well as the obtained results. The performance of both models is compared in terms of the voltage error and the requirements to use them. Finally, a combined methodology is proposed to overcome the problems which can appear when each technique is employed. The resultant model is validated at 25 ºC in all SOC range using real measurements of a 40 Ah Li-ion cell with different current profiles, including pulses of diverse lengths and FUDS driving cycles. The tests show small error between the real response of the cell and the output of the model.
Keywords: battery model; BMS; diagnosis; EV; impedance spectroscopy battery model; BMS; diagnosis; EV; impedance spectroscopy
MDPI and ACS Style

Pérez, G.; Gandiaga, I.; Garmendia, M.; Reynaud, J.; Viscarret, U. Modelling of Li-ion Batteries Dynamics using Impedance Spectroscopy and Pulse Fitting: EVs Application. World Electr. Veh. J. 2013, 6, 644-652.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop