Parameter Identification Method for a Fractional-Order Model of Lithium-Ion Batteries Considering Electrolyte-Phase Diffusion

The physics-based fractional-order model (FOM) for lithium-ion batteries has shown good application prospects due to its mechanisms and simplicity. To adapt the higher-level applications, this paper proposes an improved FOM considering electrolyte-phase diffusion (FOMe) then a complete method parameter identification based on three characteristic SOC intervals: positive solid phase, negative electrolyte phase. mainly determines above intervals identifies four thermodynamic parameters five dynamic parameters. Furthermore, describes framework, which first verifies separately pseudo two-dimensional simulations, secondly FOMe as whole experiments. results, are simulations actual Li0.8Co0.1Mn0.1O2 under multiple typical operating profiles comparisons with other methods, show that proposed is highly accurate efficient.