Electrical engineering

Physics

Equivalent circuit

MATLAB

Thévenin's theorem

Noise (video)

Operating system

Image (mathematics)

Filter (signal processing)

Engineering

Voltage

Artificial intelligence

Kalman filter

Power (physics)

Extended Kalman filter

Control (management)

Programming language

Electronic engineering

State of charge

State of health

SIGNAL (programming language)

Computer science

Lead–acid battery

Battery (electricity)

Quantum mechanics

Computer vision

Control theory (sociology)

International Journal of Electrical and Computer Engineering (IJECE)

This article determines the internal parameters of a battery analyzed from its circuit equivalent, reviewing important information that can help to identify the battery’s state of charge (SOC) and its state of health (SOH). Although models that allow the dynamics of different types of batteries to be identified have been developed, few have defined the lead-acid battery model from the analysis of a filtered signal by applying a Kalman filter, particularly taking into account the measurement of noise not just at signal output but also at its input (this is a novelty raised from the experimental). This study proposes a model for lead-acid batteries using tools such as Matlab® and Simulink®. First, a method of filtering the input and output signal is presented, and then a method for identifying parameters from 29 charge states is used for a lead-acid battery. Different SOCs are related to different values of Open Circuit Voltage (OCV). Ultimately, improvements in model estimation are shown using a filter that considers system and sensor noise since the modeled and filtered signal is closer to the original signal than the unfiltered modeled signal. Although the identification of the parameters for both models is based on the same initial values of the elements that compose it, it is yet to be studied whether original signal, because it has a certain noise component, prevents achieving more accurate parameters from the initial conditions assigned to this model and thus other initial values are required.

Kalman filter applied to thevenin’s modeling of a lead-acid battery