Xi-ming Cheng1,2, Li-guang Yao1, Yinjiao Xing2 and Michael Pecht2
1Collaborative Innovation Center for Electric Vehicles in Beijing, National Engineering Laboratory for Electric Vehicles, Department of Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China
2Center of Advanced Life Cycle Engineering, University of Maryland, College Park, MD 20742, USA
Because of their simplicity and dynamic response, current pulse series are often used to
extract parameters for equivalent electrical circuit modeling of Li-ion batteries. These models are
then applied for performance simulation, state estimation, and thermal analysis in electric vehicles.
However, these methods have two problems: The assumption of linear dependence of the matrix
columns and negative parameters estimated from discrete-time equations and least-squares methods.
In this paper, continuous-time equations are exploited to construct a linearly independent data matrix
and parameterize the circuit model by the combination of non-negative least squares and genetic
algorithm, which constrains the model parameters to be positive. Trigonometric functions are then
developed to fit the parameter curves. The developed model parameterization methodology was
applied and assessed by a standard driving cycle.
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