The classical physics-based Doyle–Fuller–Newman (DFN) lithium-ion cell model is non-identifiable; i.e., it is mathematically impossible to determine the model’s parameter values without ambiguity from nondestructive input/output (current/voltage) measurements. This paper presents a method for convert- ing the DFN model into a “lumped-parameter model” (LPM) that is identifiable: i.e., it is mathematically possible to determine its parameter values from input/output measurements. This is a requirement for being able to estimate the parameters of a physics-based model of a specific lithium-ion cell using non- destructive methods, and is an important step in making BMS using physics-based models feasible.

P4-09 Process for lumping parameters to enable nondestructive parameter estimation for lithium-ion physics-based models

Reducing emissions from the transportation sector is one of the fastest ways to combat climate change. 

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The 13th-15th June, people from all over the world will travel to Oslo, the world’s leading player in electric transport, to participate in this year’s biggest EV conference.