(Invited) Novel Reduced-Order Electrochemical Models for Battery Simulation

Abstract

It is important to accelerate the calculation efficiency while guaranteeing the accuracy for battery simulations. We introduced novel reduced-order physical-based models for simplifying the P2D electrochemical model, where the lithium-ion concentration and electrolyte potential distribution are represented by polynomial equations. Two types of reduced-order models, including the revised single-particle model (RSPM) and the fast-calculating P2D model (FCP2D) are developed based on the simplification method of lithium diffusion modeling within particles. Results show that the proposed RSPM and FCP2D reduced-order model can represent the battery parameters, including terminal voltage, overpotential, interfacial current density, lithium-ion concentration distribution, and electrolyte potential distribution, accurately and efficiently. Specifically, the RSPM owns a better performance (embodied in a satisfactory accuracy and a higher efficiency) under lower C rates operation, while the FCP2D can guarantee a higher accuracy than the RSPM under higher C rates operation. This work provides a novel approach for promoting battery simulation efficiency through physical-based models, which contributes to the acceleration of the responding speed of battery management systems and the battery development period.