State of charge estimation in Ni–MH rechargeable batteries

R.H. Milocco; B.E. Castro

doi:10.1016/j.jpowsour.2009.05.005

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State of charge estimation in Ni–MH rechargeable batteries

R.H. Milocco B.E. Castro

Year: 2009 Journal: Journal of Power Sources Vol: 194 (1)Pages: 558-567 Publisher: Elsevier BV

DOI: 10.1016/j.jpowsour.2009.05.005

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Keywords:

State of charge Kalman filter Battery (electricity) Extended Kalman filter Nonlinear system Cascade Electrochemistry Minification Work (physics) Control theory (sociology) Kinetic energy Electrode Inverse Nonlinear model Materials science Computer science Chemistry Engineering Mathematics Mathematical optimization Thermodynamics Power (physics) Physics Chemical engineering Mechanical engineering Physical chemistry

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Advanced Battery Technologies Research

Physical Sciences → Engineering → Automotive Engineering

Advanced battery technologies research

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advancements in Battery Materials

Physical Sciences → Engineering → Electrical and Electronic Engineering

State of charge estimation in Ni–MH rechargeable batteries

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