A Lead-Acid Battery Discharge Emulator with a Hardware-in-the-Loop System for Low-Power General Applications
Year: 2025
Type: article
Abstract: This study focuses on addressing the critical need for efficient methods of testing battery performance in laboratories, identified through a bibliometric analysis regarding the research trend in batteries, their technologies, integration challenges, lifetime, and recovery, culminating in a detailed exploration of lead-acid batteries and battery emulators through electronics applications. The significance of lead-acid battery discharge emulators as alternative tools to actual batteries for laboratory testing is highlighted, due to their ability to replicate controlled testing conditions, enhance safety, and reduce costs. developed, specifically selecting a 12V 7Ah 20Hr battery with a monitoring system for analysis. The system behavior was validated by employing a resistive load module and making comparisons with manufacturer data. Using this system and a resistive load module, its behavior was verified by comparing it with the data provided by the manufacturer. The next phase of this work involved selecting components to emulate the battery's behavior using a switched-mode power supply controlled by a current source and a mathematical model chosen from the Matlab-Simulink tool through a Hardware-in-the-loop (HIL) system that interprets the battery's state of charge (SoC) to match the pre-configured model response to the lead-acid battery manufacturer's data. The emulator circuit was thoroughly evaluated against the model's expected responses to various charge levels, culminating in the implementation of an integrated prototype that simulates the discharge of lead-acid batteries in low-power applications and introduces a user-friendly interface, facilitating its application in general engineering studies. The work offers a valuable tool for battery research and development, promoting advancements in the study of lead-acid battery discharge in low-power applications.
Source: Data & Metadata
DOI: 10.56294/dm2025765
Institution: Universidad Técnica del Norte
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409074821