Method for estimating a maximum current value, using bisection, to be applied to a battery cell to reach an operating limit condition related to the estimation of the maximum available power.
The method uses a two-dimensional multi-particle Doyle-Fuller-Newman model and Bayesian filter to iteratively estimate the maximum current value, addressing inefficiencies in existing battery power estimation methods, ensuring precise and real-time battery management.
FR3170626A1Pending Publication Date: 2026-06-26COMMISSARIAT A LENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
Patent Information
- Authority / Receiving Office
- FR · FR
- Patent Type
- Applications
- Current Assignee / Owner
- COMMISSARIAT A LENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
- Filing Date
- 2024-12-20
- Publication Date
- 2026-06-26
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Abstract
Method for estimating a maximum current value to be applied to a battery cell to achieve at least one operating boundary condition, the method comprising the iterative steps of: Running (201) several instances of a cell state prediction model to estimate a voltage value across the cell obtained at the end of a given time horizon, from the temperature measurement and an assumption of the current value applied to the cell, each instance being run for a different current value assumption taken from a first set of values in a given interval, Selecting (203) a first current value assumption from the first set that yields a voltage value closest to a boundary value corresponding to an operating boundary condition,Given that the selected hypothesis is the maximum current value to be applied to the cell to reach the operating limit condition at the end of the time horizon, Generate (202), for the next iteration, a new first set of current values centered on the first hypothesis and within an interval of reduced or identical width compared to the previous first set. Figure 2,
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