BibTex format
@article{Howey:2014:10.1109/TVT.2013.2293597,
author = {Howey, DA and Mitcheson, PD and Yufit, V and Offer, GJ and Brandon, NP},
doi = {10.1109/TVT.2013.2293597},
journal = {IEEE Transactions on Vehicular Technology},
pages = {2557--2566},
title = {Online measurement of battery impedance using motor controller excitation},
url = {http://dx.doi.org/10.1109/TVT.2013.2293597},
volume = {63},
year = {2014}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - This paper presents a fast cost-effective technique for the measurement of battery impedance online in an application such as an electric or hybrid vehicle. Impedance measurements on lithium-ion batteries between 1 Hz and 2 kHz give information about the electrochemical reactions within a cell, which relates to the state of charge (SOC), internal temperature, and state of health (SOH). We concentrate on the development of a measurement system for impedance that, for the first time, uses an excitation current generated by a motor controller. Using simple electronics to amplify and filter the voltage and current, we demonstrate accurate impedance measurements obtained with both multisine and noise excitation signals, achieving RMS magnitude measurement uncertainties between 1.9% and 5.8%, in comparison to a high-accuracy laboratory impedance analyzer. Achieving this requires calibration of the measurement circuits, including measurement of the inductance of the current sense resistor. A statistical correlation approach is used to extract the impedance information from the measured voltage and current signals in the presence of noise, allowing a wide range of excitation signals to be used. Finally, we also discuss the implementation challenges of an SOC estimation system based on impedance.
AU - Howey,DA
AU - Mitcheson,PD
AU - Yufit,V
AU - Offer,GJ
AU - Brandon,NP
DO - 10.1109/TVT.2013.2293597
EP - 2566
PY - 2014///
SN - 0018-9545
SP - 2557
TI - Online measurement of battery impedance using motor controller excitation
T2 - IEEE Transactions on Vehicular Technology
UR - http://dx.doi.org/10.1109/TVT.2013.2293597
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000342422000006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://ieeexplore.ieee.org/document/6678208
VL - 63
ER -