Integrated battery fuel gauge and optimal charger
Document Type
Conference Proceeding
Publication Date
10-23-2014
Publication Title
AUTOTESTCON (Proceedings)
First Page
260
Keywords
Battery Kuel Gauge (BKG), Battery Management System (BMS), Open Circuit Voltage (OCV), Optimal Charging Algorithm (OCA), Remaining Useful Life (RUL), Stale of Health (SOH), State of Charge (SOC)
Last Page
269
Abstract
Contemporary Battery Management Systems (BMS) form an essential part of a wide range of devices, such as portable electronics, mobiles, personal digital assistants (PDAs), hybrid and electric vehicles, and aerospace equipment. In this paper, we propose a novel closed-loop integrated BMS consisting of a battery fuel gauge (BFG) and optimal charging algorithms (OCAs). The integrated system not only performs accurate estimation of the state of the batteries, such as the state of charge (SOC), the slate of health (SOH) and the remaining useful lire (RliL), but also computes the optimal charging current based on trade-offs between cycle lire, lime-to-charge (TTC), energy losses (EL), and a temperature rise index (TRI). The stale estimates from the battery fuel gauge are used in the optimal charging problem, and the charging constitutes one of the discrete stales (e.g., charge, discharge, rest) of a BMS. The system has been tested ou a number of commercially available batteries.
DOI
10.1109/AUTEST.2014.6935155
ISBN
9781479933891
Recommended Citation
Pattipati, B.; Balasingam, B.; Abdollahi, A.; Avvari, G. V.; Pattipati, K. R.; and Bar-Shalom, Y.. (2014). Integrated battery fuel gauge and optimal charger. AUTOTESTCON (Proceedings), 260-269.
https://scholar.uwindsor.ca/computersciencepub/151