Development of intelligent battery monitoring system for solar powered lighting applications

This paper presents an intelligent battery monitoring system to aid in maintaining lead acid batteries used in solar powered lighting systems. In addition to this, the proposed system also employs maximum power point tracking algorithm to optimize battery performance. Remote monitoring of battery system has been implemented using an embedded web server that transfers State of Charge information of battery via Ethernet Network to multiple clients. The system also assists in faster fault rectification by reporting critical conditions that require immediate attention with escalated priorities. This paper explicates salient features of proposed design and also analyzes the performance of developed system.