Work

Improved the performance of automotive forklift lead-acid battery using a novel charging algorithm

Year: 2025

Type: article

Abstract: This paper presents a novel, patented charging algorithm designed to rejuvenate lead-acid batteries used in industrial forklifts. Unlike conventional methods, the algorithm applies a feedback-driven, pulse-based charging process that reverses hard sulfation and restores cell balance without chemical additives. Experimental validation on a 12-cell, 620 Ah battery showed significant improvements: internal resistance decreased by an average of 57.4 %, specific gravity rose by 3.75 %, open-circuit voltage increased by 12 %, and on-load voltage improved by 3.8 %. These results confirm the algorithm's effectiveness in extending battery lifespan and enhancing operational efficiency in demanding industrial settings.

Source: Case Studies in Thermal Engineering

DOI: 10.1016/j.csite.2025.107332

Authors: Abdelrahman Radwan, Ali Al Zyoud, Laith Hijjawi, Mohammad Hamdan, Mohammad Ma'aitah, Salman Ajib

Institutions: Applied Science Private University, Al-Zaytoonah University of Jordan, Ostwestfalen-Lippe University of Applied Sciences and Arts

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,620