To improve the charging method a simple battery charging algorithm is proposed in this paper. The IC (UC3906) is the core of the designed circuit to implement the algorithm. The result shows that the designed circuit based on the algorithm is effective during overcharging and supports the steady charging concept without consuming access charges.
Conferences > 2016 3rd International Confer... Charging method is crucial for any batteries. Over the years, many charging algorithm are developed to improve the charging method of lead acid battery. Uncontrolled charging of lead acid battery may lead to capacity loss and also reduce the life cycle of battery.
Conclusions In this paper, the health status of lead–acid battery capacity is the research goal. By extracting the features that can reflect the decline of battery capacity from the charging curve, the life evaluation model of LSTM for a lead–acid battery based on bat algorithm optimization is established.
The bat algorithm is a new metaheuristic swarm intelligence algorithm, which has the advantages of fast convergence, few parameters, and simple model. It has achieved rich results in intrusion detection, fault location, model recognition, and other fields [ 12 ].
A long short-term memory (LSTM) regression model was established, and parameter optimization was performed using the bat algorithm (BA). The experimental results show that the proposed model can achieve an accurate capacity estimation of lead–acid batteries. 1. Introduction
The result shows that the designed circuit based on the algorithm is effective during overcharging and supports the steady charging concept without consuming access charges. References is not available for this document. Need Help?