Title :
A nonlinear adaptive observer approach for state of charge estimation of lithium-ion batteries
Author :
Yonghua Li ; Anderson, R.D. ; Jing Song ; Phillips, A.M. ; Xu Wang
Author_Institution :
Vehicle & Battery Controls Dept, Ford Motor Co., Dearborn, MI, USA
fDate :
June 29 2011-July 1 2011
Abstract :
A state of charge estimation method for lithium ion batteries is presented. First, the problem is formulated, and existing literature is reviewed. Then an equivalent circuit is used to model the battery, and an indirect nonlinear adaptive observer approach is developed to estimate the state of charge. Parameter identification and state estimation scheme are discussed. Simulation result based on real-world battery test data is shown to support the validity of the proposed method. Issues related to production code implementation are also addressed.
Keywords :
adaptive control; estimation theory; nonlinear control systems; observers; secondary cells; equivalent circuit; estimation method; lithium ion batteries; nonlinear adaptive observer approach; parameter identification; state estimation; Batteries; Equations; Integrated circuit modeling; Mathematical model; Observers; System-on-a-chip;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5990868