Extending lifetime of portable systems by battery scheduling
Proceedings of the conference on Design, automation and test in Europe
ISER '00 Experimental Robotics VII
Analysis of discharge techniques for multiple battery systems
Proceedings of the 2003 international symposium on Low power electronics and design
Balancing batteries, power, and performance: system issues in cpu speed-setting for mobile computing
Balancing batteries, power, and performance: system issues in cpu speed-setting for mobile computing
An analytical model for predicting the remaining battery capacity of lithium-ion batteries
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A marsupial relationship in robotics: a survey
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part I
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Effective robotic autonomy requires an accurate estimation of the remaining power that the robot is carrying. There are a number of methods to estimate the remaining capacity of the robot's batteries. The accuracy of these approaches varies depending upon the chemical composition of the batteries as well as the means by which the monitoring is conducted. In this paper, an overview of various battery capacity estimation methodologies will be presented as well as a discussion of a specific implementation utilized on robotic platforms developed at the Center for Distributed Robotics at the University of Minnesota. This approach involves the novel use of fuel-gauging electronics for mobile robotic platforms. Experiments were conducted to show the accuracy of this method for both charge and discharge of the polymer Lithium-ion batteries in use.