Battery electric system with alternating current self-heating mode
US-2024429481-A1 · Dec 26, 2024 · US
US2020227791A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020227791-A1 |
| Application number | US-202016820150-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 16, 2020 |
| Priority date | Sep 14, 2017 |
| Publication date | Jul 16, 2020 |
| Grant date | — |
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A battery management system for a rechargeable battery is disclosed which includes a control system configured to control, a numerical battery model, including a parametrized electric model; a parametrized thermal model; an aging model configured to provide stress parameters indicative of an instantaneous consumption of an expected lifetime of the battery in dependence on an internal temperature of the battery, and one or more of momentary state of charge, current, voltage and power delivered; updated electric parameters and/or updated thermal parameters based on a chronological sequence of internal temperature as obtained from the parametrized thermal model; a control system settings update unit configured to adapt controller settings based on stress parameters.
Opening claim text (preview).
1 . A battery management system for a rechargeable battery, comprising a control system configured to control, in dependence on one or more control system settings, one, two or more of current, delivered by or to the battery, voltage across the battery, power delivered by or to the battery, and state of charge of the battery; a numerical battery model, comprising a parametrized electric model describing the battery in terms of an equivalent electric circuit comprising a plurality of electric parameters; a parametrized thermal model capable of estimating, based on a plurality of thermal parameters, an internal temperature of the battery as a function of current, voltage and/or power delivered by or to the battery; an aging model configured to provide stress parameters indicative of an instantaneous consumption of an expected lifetime of the battery in dependence on an internal temperature of the battery, and one or more of momentary state of charge, current, voltage and power delivered; updated electric parameters and/or updated thermal parameters based on a chronological sequence of internal temperature as obtained from the parametrized thermal model; a control system settings update unit configured to adapt controller settings based on stress parameters. 2 . The system of claim 1 , wherein the control system is further configured to control internal temperature of the battery through a closed loop control scheme. 3 . The system of claim 1 , wherein the control system is based on model predictive control using the parametrized electric and thermal models of the numerical battery model. 4 . The system of claim 1 , wherein the electric circuit of the parametrized electric model comprises a voltage source and a serial resistor connected in series with the voltage source. 5 . The system of claim 1 , wherein the electric circuit of the parametrized electric model comprises an RC element connected in series with the serial resistor, said RC element comprising an RC resistor and an RC capacitor connected in parallel. 6 . The system of claim 1 , wherein the numeric values for at least one electric quantity depend on an internal temperature of the battery. 7 . The system of claim 1 , wherein the numeric values for at least one electric quantity depend on instantaneous state of charge (SoC) of the battery. 8 . The system of claim 1 , wherein the aging model may be updated to take into account for differences between updated model quantities and corresponding observed quantities. 9 . A method for controlling one, two or more of a state of charge, a current, a voltage and/or a power delivered by or to a battery, the method comprising: providing a control system for controlling said quantities in dependence on one or more control system settings under a closed-loop control scheme; providing a numerical battery model, comprising a parametrized electric model describing the battery in terms of an equivalent electric circuit comprising a plurality of electric parameters; a parametrized thermal model capable of estimating, based on a plurality of thermal parameters, an internal temperature of the battery as a function of current, voltage and/or power delivered by or to the battery; an aging model configured to provide stress parameters indicative of an instantaneous consumption of an expected lifetime of the battery in dependence on the internal temperature of the battery, and one or more of momentary state of charge, current, voltage and power delivered; updated electric and/or updated thermal parameters based on a chronological sequence of internal temperature as obtained from the parametrized thermal model; determining initial values for the stress parameters and/or the plurality of electric and thermal parameters; operating the battery under control of the controller with said controller settings; periodically updating the numerical battery model, in particular the electric and thermal parameters; selecting updated control system settings based on a given operational range for state of charge, current, voltage, and/or internal temperature; repeating said acts of operating the battery, periodically updating the numerical battery model and selecting updated control system settings. 10 . The method according to claim 9 , wherein the control system is further configured to control internal temperature of the battery through a closed loop control scheme. 11 . The method according to claim 10 , wherein in said operating the battery, the battery is operated under model predictive control using the parametrized electric and thermal models of the numerical battery model. 12 . The method according claim 9 , wherein in said periodically updating the numerical battery model, the battery model is updated using output from the aging model. 13 . The method according to claim 9 , wherein in said periodically updating the numerical battery model, the numerical battery model is updated using a diagnostic routine. 14 . The method of claim 9 , wherein in said periodically updating the numerical battery model, the battery model is updated using data obtained from other batteries. 15 . The method of claim 9 , further comprising the act of repeatedly updating the aging model to take into account for differences between updated model quantities and corresponding observed quantities. 16 . The system according to claim 1 , wherein the ageing model is configured to provide the estimated remaining lifetime as a function L(t), in particular L(t, . . . ), of time. 17 . The system according to claim 16 , wherein at least one stress parameter is defined as a partial derivative of the remaining expected lifetime function wherein, in particular, said function of a stress-factor-dependent, in particular L(t, I, V, P, T cell , SoC, DoD). 18 . The system according to claim 17 , wherein at least one stress parameter is defined according to ∂L (t, I, V, P, T cell , SoC, DoD)/∂I, ∂L, I, V, P, T cell , SoC, DoD)/∂V, ∂L(t, I, V, P, T cell , SoC, DoD)/∂P, ∂L(t, I, V, P, T cell , SOC, DoD)/∂T cell , ∂L(t, I, V, P, T cell , SoC, DoD)/∂SoC, or ∂L(t, I, V, P, T cell , SoC, DoD)/∂DoD. 19 . The system according to claim 1 , wherein the control system configured to control, in dependence on one or more control system settings, exactly one of current, delivered by or to the battery, voltage across the battery, power delivered by or to the battery, and state of charge of the battery. 20 . The method according to claim 9 , wherein the ageing model is configured to provide the estimated remaining lifetime as a function L(t), in particular L(t, . . . ), of time. 21 . The method according to claim 20 , wherein at least one stress parameter is defined as a partial derivative of the remaining expected lifetime function wherein. 22 . The method according to claim 21 , wherein at least one stress parameter is defined according to ∂L(t, I, V, P, T cell , SoC, DoD)/∂I, ∂L(t, I, V, P, T cell , SoC, DoD)/∂V, ∂L(t, I, V, P, T cell , SOC, DoD)/∂P, ∂L(t, I, V, P, T cell , SoC, DoD)/∂T cell , ∂L(t, I, V, P, T cell , SoC, DoD)/∂SoC, or ∂L(t, I, V, P, T cell , SoC, DoD)/∂DoD.
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