1. Effect of Sensors Sensitivity on Lithium-Ion Battery Modeled Parameters and State of Charge: A Comparative Study
- Author
-
Hee-Je Kim, Amad Zafar, Muhammad Umair Ali, Sarvar Hussain Nengroo, and Sadam Hussain
- Subjects
Battery (electricity) ,Computer Networks and Communications ,Computer science ,020209 energy ,state of charge (SOC) ,voltage sensor precision ,lcsh:TK7800-8360 ,02 engineering and technology ,Lithium-ion battery ,Battery management systems ,sensitivity analysis ,Control theory ,Hardware_GENERAL ,Voltage sensor ,0202 electrical engineering, electronic engineering, information engineering ,Current sensor ,Sensitivity (control systems) ,Electrical and Electronic Engineering ,020208 electrical & electronic engineering ,lcsh:Electronics ,State of charge ,Hardware and Architecture ,Control and Systems Engineering ,Signal Processing ,current sensor precision ,Voltage - 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&rsquo, 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.
- Published
- 2019