For the Doyle-Fuller-Newman battery model, the paper derives optimal-order error bounds for a backward Euler finite element scheme and demonstrates a twice-decoupled solver that is about twice as fast as existing solvers in 3D simulations.
Optimal convergence in finite element semi-discrete error analysis of the Doyle-Fuller-Newman model beyond 1D with a novel projection operator
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abstract
We present a finite element semi-discrete error analysis for the Doyle-Fuller-Newman model, which is the most popular model for lithium-ion batteries. Central to our approach is a novel projection operator designed for the pseudo-($N$+1)-dimensional equation, offering a powerful tool for multiscale equation analysis. Our results bridge a gap in the analysis for dimensions $2 \le N \le 3$ and achieve optimal convergence rates of $h+(\Delta r)^2$. Additionally, we perform a detailed numerical verification, marking the first such validation in this context. By avoiding the change of variables, our error analysis can also be extended beyond isothermal conditions.
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Optimal-rate error estimates and a twice decoupled solver for a backward Euler finite element scheme of the Doyle-Fuller-Newman model of lithium-ion cells
For the Doyle-Fuller-Newman battery model, the paper derives optimal-order error bounds for a backward Euler finite element scheme and demonstrates a twice-decoupled solver that is about twice as fast as existing solvers in 3D simulations.