Methods for on-line, high-accuracy estimation of battery state of power: United States Patent 9989595

By: Wang, Shuoqin

Some variations provide a method for real-time estimation of state of charge and state of power of a battery, comprising: (a) cycling a battery with a driving profile; (b) utilizing a recursive algorithm that relates battery terminal voltage to battery current, wherein the algorithm includes open-circuit voltage and a finite-impulse-response filter to dynamically model kinetic voltage; measuring the battery terminal voltage and the battery current at least at a first time and a second time during cycling; calculating battery open-circuit voltage and finite-impulse-response filter parameters; calculating battery state of charge based on the open-circuit voltage; and calculating battery state of power based on the open-circuit voltage and the finite-impulse-response filter parameters. An extended Kalman filtering technique is incorporated for real-time updating of FIR model parameters. Only a single FIR filter is necessary, making these methods applicable for battery-powered systems with limited computing and storage capabilities.

• Format: Paperback
• Language: English
• ISBN: B08RH7MJDG
• ISBN13: 9798585130878
• Release Date: January 1
• Publisher: Independently Published
• Length: 28 Pages
• Weight: 0.20 lbs.
• Dimensions: 0.1" x 8.5" x 11.0"