System and method for battery power management
US-2015326038-A1 · Nov 12, 2015 · US
US2022069361A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2022069361-A1 |
| Application number | US-202017002380-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 25, 2020 |
| Priority date | Aug 25, 2020 |
| Publication date | Mar 3, 2022 |
| Grant date | — |
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A method of controlling the charge current during charging of a lithium-ion battery. A battery charging controller is based on a Kalman filter, which uses estimated battery states to generate a feedback metric to continually adjust a battery cell model. The battery cell model then delivers data to an optimization process that generates the charge current.
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What is claimed is: 1 . A method of controlling the charge current during charging of a lithium-ion battery, comprising: storing a cell model of the battery as part of a cell model process; measuring battery state values of the battery, the battery states being at least: the battery's electrolyte overpotential and the battery's polarization resistance; delivering the battery state values to a Kalman filter process; processing the battery state values with the Kalman filter process to obtain a cell model adjustment factor; wherein the cell model process is programmed to receive the cell model adjustment factor and a charge current value, and based on the cell model, the cell model adjustment factor, and the charge current value, to generate a model state vector having one or more model state values representing at least the battery's state of charge; and using an optimization process to generate a new charge current based on the model state vector and the charge current value. 2 . The method of claim 1 , wherein the battery is a vehicle battery. 3 . The method of claim 1 , wherein the method is implemented as part of a battery management system of a vehicle battery. 4 . The method of claim 1 , wherein the model state vector further has model states of one or more of the following: anode potential, electrolyte potential, or solid electrolyte interphase layer resistance. 5 . The method of claim 1 , wherein the step of measuring battery state values is performed by a battery management system. 6 . The method of claim 1 , wherein polarization resistance is measured while the battery is hooked up to a charger and its charge is complete and stopped. 7 . The method of claim 1 , wherein the cell model is a reduced order model. 8 . The method of claim 1 , wherein the adjustment factor adjusts values in the cell model related to electrode and electrolyte potentials. 9 . A controller for controlling the charge current during charging of a lithium-ion battery, comprising: a cell model process that stores a model of the battery; a Kalman filter process operable to receive measured battery state values of the battery, the battery states being at least: the battery's electrolyte overpotential and the battery's polarization resistance; wherein the Kalman filter process processes the battery state values to obtain a cell model adjustment factor; wherein the cell model process is programmed to receive the cell model adjustment factor and a charge current value, and based on the cell model, the cell model adjustment factor, and the charge current value, to generate a model state vector having one or more model state values representing at least the battery's state of charge; and an optimization process operable to generate a new charge current based on the model state vector and the charge current value. 10 . The controller of claim 9 , wherein the battery is a vehicle battery. 11 . The controller of claim 9 , wherein the controller is part of a battery management system of a vehicle battery. 12 . The controller of claim 9 , wherein the model state vector further has model states of one or more of the following: anode potential, electrolyte potential, or solid electrolyte interphase layer resistance. 13 . The controller of claim 9 , wherein polarization resistance is measured while the battery is hooked up to a charger and its charge is complete and stopped. 14 . The controller of claim 9 , wherein the cell model is a reduced order model. 15 . The controller of claim 9 , wherein the adjustment factor adjusts values in the cell model related to electrode and electrolyte potentials. 16 . An improved battery management system for an electric vehicle having at least one lithium-ion battery, the improvement comprising: a measurement process for measuring or estimating battery state values, the battery state values being at least: the battery's electrolyte overpotential and the battery's polarization resistance; a charging controller for controlling the charge current during charging of the battery, comprising: a cell model process that stores a model of the battery; a Kalman filter process operable to receive the battery state values and to process the battery state values to obtain a cell model adjustment factor; wherein the cell model process is programmed to receive the cell model adjustment factor and a charge current value, and based on the cell model, the cell model adjustment factor, and the charge current value, to generate a model state vector having one or more model state values representing at least the battery's state of charge; and an optimization process operable to generate a new charge current based on the model state vector and the charge current value.
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