Battery health aware thermal management system

US2025042302A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2025042302-A1
Application numberUS-202318501686-A
CountryUS
Kind codeA1
Filing dateNov 3, 2023
Priority dateAug 3, 2023
Publication dateFeb 6, 2025
Grant date

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  1. Title

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  2. Abstract

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Control architectures and methods for use in a vehicle having a battery and a powertrain including an electric motor that receives power from the battery. A battery thermal management system is controlled to minimize economic costs that are summed from each of costs of battery deterioration and costs of maintaining the battery at given temperatures. The control architecture is for the thermal management system and treats battery current as a disturbance rather than as a controlled parameter.

First claim

Opening claim text (preview).

What is claimed is: 1 . A vehicle comprising: a powertrain including an electric motor and a rechargeable battery coupled to the electric motor to provide drive power for the vehicle, the rechargeable battery including a first temperature sensor configured to sense a temperature of the rechargeable battery; a thermal management system for the rechargeable battery using a circulating fluid to control temperature of the rechargeable battery, the thermal management system including a chiller for cooling the circulating fluid; and a BTMS controller configured to control operation of the thermal management system by: obtaining a set of temperatures from the thermal management system, including at least one temperature of the circulating fluid, and a battery temperature; estimating a state of charge (SOC) of the battery; using a battery thermal model to estimate heat transfer between the circulating fluid and the battery, and a chiller model to estimate heat transfer in the chiller; predicting, in a time horizon, a battery current; applying a cost function minimization to determine control parameters to issue to the thermal management system by minimizing a sum of economic costs of battery health effects in the time horizon, the sum of economic costs varying with SOC of the battery, and economic costs of operation of the thermal management system in the time horizon; and issuing the control parameters to the thermal management system. 2 . The vehicle of claim 1 , wherein the BTMS controller is configured to perform the cost function minimization by selecting from at least two models of battery deterioration based on the predicted battery current in the time horizon. 3 . The vehicle of claim 1 , wherein the BTMS controller is configured to perform the cost function minimization by using a model for battery deterioration due to aging, applicable to portions the time horizon in which the battery current is predicted to be below a nominal threshold. 4 . The vehicle of claim 1 , wherein the BTMS controller is configured to perform the cost function minimization by using a model for battery deterioration during battery discharge due to powertrain operation, applicable to portions of the time horizon in which the battery current is predicted to be issued from the battery to the powertrain. 5 . The vehicle of claim 1 , wherein the BTMS controller is configured to perform the cost function minimization by using a model for battery deterioration during battery charging, applicable to portions of the time horizon in which the battery current is predicted to be injected to the battery at a level that exceeds a nominal threshold. 6 . The vehicle of claim 1 , wherein the BTMS controller is configured to perform the cost function minimization using a non-linear model predictive control (NMPC) analysis. 7 . The vehicle of claim 6 , wherein the BTMS controller is configured to use the NMPC analysis to calculate a plurality of sets of control signals through the prediction horizon, issue a first of the sets of control signals, obtain a new set of temperatures, and repeat the cost function minimization. 8 . The vehicle of claim 1 , wherein the thermal management system includes a chiller coupled to a vapor cycle cooling system, and a pump, wherein the set of control signals includes at least a control signal for operation of the pump, and a setpoint for the vapor cycle cooling system. 9 . The vehicle of claim 1 , wherein the thermal management system includes a heater and first and second valves for directing flow of the circulating fluid through either the heater or the chiller, and the economic costs in the cost function minimization include a term for the heater and a term for the chiller. 10 . A vehicle comprising: a powertrain including an electric motor and a rechargeable battery coupled to the electric motor to provide drive power for the vehicle, the rechargeable battery including a first temperature sensor configured to sense a temperature of the rechargeable battery; a thermal management system for the rechargeable battery using a circulating fluid to control temperature of the rechargeable battery, the thermal management system including a chiller for cooling the circulating fluid; and a reference tracking controller coupled to the thermal management system and configured to use a set of references to control operation of the thermal management system; a non-linear optimizing controller configured to calculate and communicate the set of references to the reference tracking controller by: obtaining a set of temperatures from the thermal management system, including at least one temperature of the circulating fluid, and a battery temperature; estimating a state of charge (SOC) of the battery; using a battery thermal model to estimate heat transfer between the circulating fluid and the battery, and a chiller model to estimate heat transfer in the chiller; predicting, in a time horizon, a battery current; applying a cost function minimization to determine the set of references for controlling the thermal management system by minimizing a sum of economic costs of battery health effects in the time horizon, the sum of economic costs varying with SOC of the battery, and economic costs of operation of the thermal management system in the time horizon; and issuing the set of references to the reference tracking controller. 11 . The vehicle of claim 10 , wherein the non-linear optimizing controller is configured to periodically calculate and communicate the set of references to the reference tracking controller at a first period, and the reference tracking controller is configured to apply the set of references to control the thermal management system using a second period, the second period being shorter than the first period. 12 . The vehicle of claim 10 , wherein the non-linear optimizing controller is configured to perform the cost function minimization by selecting from at least two models of battery deterioration based on the predicted battery current in the time horizon. 13 . The vehicle of claim 10 , wherein the non-linear optimizing controller is configured to perform the cost function minimization by using a model for battery deterioration due to aging, applicable to portions the time horizon in which the battery current is predicted to be below a nominal threshold. 14 . The vehicle of claim 10 , wherein the non-linear optimizing controller is configured to perform the cost function minimization by using a model for battery deterioration during battery discharge due to powertrain operation, applicable to portions of the time horizon in which the battery current is predicted to be issued from the battery to the powertrain. 15 . The vehicle of claim 10 , wherein the non-linear optimizing controller is configured to perform the cost function minimization by using a model for battery deterioration during battery charging, applicable to portions of the time horizon in which the battery current is predicted to be injected to the battery at a level that exceeds a nominal threshold. 16 . The vehicle of claim 10 , wherein the thermal management system includes a heater and first and second valves for directing flow of the circulating fluid through either the heater or the chiller, and the economic costs in the cost function minimization include a term for the heater and a term for the chiller. 17 . A method of controlling battery temperature in a vehicle, the vehicle including a powertrain including an electric motor and a battery coupled to the electric

Assignees

Inventors

Classifications

  • Package configurations · CPC title

  • of the battery · CPC title

  • the charge cycle being controlled or terminated in response to non-electric parameters · CPC title

  • the cycle being controlled or terminated in response to electric parameters · CPC title

  • Control of state of charge [SOC] · CPC title

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What does patent US2025042302A1 cover?
Control architectures and methods for use in a vehicle having a battery and a powertrain including an electric motor that receives power from the battery. A battery thermal management system is controlled to minimize economic costs that are summed from each of costs of battery deterioration and costs of maintaining the battery at given temperatures. The control architecture is for the thermal m…
Who is the assignee on this patent?
Garrett Transportation I Inc
What technology area does this patent fall under?
Primary CPC classification B60L58/26. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Thu Feb 06 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 7 related publications on this page (citations in our corpus or others sharing the same primary CPC).