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Effect of Sensors Sensitivity on Lithium-Ion Battery Modeled Parameters and State of Charge: A Comparative Study

1
School of Electrical Engineering, Pusan National University, Pusan 46241, Korea
2
Department of Electrical Engineering, Wah Engineering College, University of Wah, Wah Cantt 47040, Pakistan
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(6), 709; https://doi.org/10.3390/electronics8060709
Received: 27 May 2019 / Revised: 15 June 2019 / Accepted: 19 June 2019 / Published: 22 June 2019
(This article belongs to the Section Power Electronics)
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Abstract

The accurate estimation of the state of charge (SOC) is usually acknowledged as one of the essential features in designing of battery management system (BMS) for the lithium-ion batteries (LIBs) in electric vehicles (EVs). A suitable battery model is a prerequisite for correct SOC measurement. In this work, the first and second order RC autoregressive exogenous (ARX) battery models are adopted to check the influence of voltage and current transducer measurement uncertainty. The Lagrange multiplier method is used to estimate the battery parameters. The sensitivity analysis is performed under the following conditions: Current sensor precision of ±5 mA, ±50 mA, ±100 mA, and ±500 mA and voltage sensor precision of ±1 mV, ±2.5 mV, ±5 mV, and ±10mV. The comparative analysis of both models under the perturbed environment has been carried out. The effects of the sensor’s sensitivity on the different battery structures and complexity are also analyzed. Results shows that the voltage and current sensor sensitivity has a significant influence on SOC estimation. This research outcome assists the researcher in selecting the optimal value of sensor accuracy to accurately estimate the SOC of the LIB. View Full-Text
Keywords: state of charge (SOC); sensitivity analysis; current sensor precision; voltage sensor precision state of charge (SOC); sensitivity analysis; current sensor precision; voltage sensor precision
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Ali, M.U.; Zafar, A.; Nengroo, S.H.; Hussain, S.; Kim, H.-J. Effect of Sensors Sensitivity on Lithium-Ion Battery Modeled Parameters and State of Charge: A Comparative Study. Electronics 2019, 8, 709.

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