Battery Modelling and Simulation Using a Programmable Testing Equipment

• Main Authors: Elena Vergori, Francesco Mocera, Aurelio Somà
• Format: Article
• Language: English
• Published: MDPI AG 2018-03-01
• Series: Computers
• Subjects: lithium-ion battery; battery testing; battery modelling; model parameters identification; state of charge estimation; Kalman filter; hybrid vehicles
• Online Access: http://www.mdpi.com/2073-431X/7/2/20

In this paper, the study and modelling of a lithium-ion battery cell is presented. To test the considered cell, a battery testing system was built using two programmable power units: an electronic load and a power supply. To communicate with them, a software/hardware interface was implemented within the National Instruments (NI) LabVIEW environment. This dedicated laboratory equipment can be used to apply charging/discharging cycles according to user defined load profiles. The battery modelling and the parameters identification procedure are described. The model was used to estimate the State Of Charge (SOC) under dynamic loading conditions. The most spread techniques used in the field of battery modelling and SOC estimation are implemented and compared.