Methods and systems for battery temperature management

Patent metadata

Field	Value
Publication number	US-11757145-B2
Application number	US-202117449225-A
Country	US
Kind code	B2
Filing date	Sep 28, 2021
Priority date	Sep 28, 2021
Publication date	Sep 12, 2023
Grant date	Sep 12, 2023

Abstract

Methods and systems are provided for a battery thermal management system. In one example, a method includes increasing coolant to a battery above a currently demanded battery cooling in response to a predicted battery temperature exceeding a threshold temperature at an upcoming location.

First claim

The invention claimed is:

1. A method comprising:
predicting a battery temperature at an upcoming location of a vehicle route;
determining a confidence level of the predicted battery temperature; and
preemptively adjusting heating or cooling to a battery in response to the predicted battery temperature changing and the confidence level being greater than a threshold confidence.

2. The method of claim 1 , wherein predicting the battery temperature includes predicting a first battery temperature where a first level of heat transfer is provided to the battery at the upcoming location, predicting a second battery temperature where a second level of heat transfer is provided to the battery at the upcoming location, and predicting a third battery temperature where a third level of heat transfer is provided to the battery at the upcoming location, wherein the third heat transfer is less than the second heat transfer and greater than the first heat transfer.

3. The method of claim 2 , further comprising preemptively decreasing cooling to the battery in response to the first battery temperature being less than a threshold temperature, wherein cooling to the battery is based on a coolant temperature and flow rate, as determined by one or more of a pump speed, a valve position, a compressor speed, an active grill shutter position, and a fan speed.

4. The method of claim 2 , wherein preemptively increasing cooling to the battery in response to the second battery temperature being greater than a threshold temperature includes increasing cooling to the second level of heat transfer.

5. The method of claim 4 , wherein preemptively increasing cooling to the battery in response to the third battery temperature being greater than a threshold temperature includes a second preemptive cooling, wherein the second preemptive cooling demand is less than the first preemptive cooling demand and greater than the current battery cooling demand.

6. The method of claim 1 , wherein heating further includes heating the battery via one of more of adjusting coolant flow, changing valve position, decreasing a fan speed, changing compressor speed, adjusting a grille shutter position to a more closed position, and engaging a heating device.

7. The method of claim 1 , wherein the confidence level is based on one or more of a time and a distance to the upcoming location, a difference between the predicted battery temperature and the threshold temperature, a difference between a predicted and observed vehicle location, a difference between predicted and observed battery power, a difference between battery coolant temperature at the inlet and battery coolant temperature at the outlet and a difference between predicted and observed battery temperature.

8. The method of claim 1 , wherein the predicted battery temperature is based on data received via a plurality of onboard sensors and a cloud, wherein data to the cloud is provided by a plurality of vehicles that previously travelled through the upcoming location or a location similar to the upcoming location, wherein the location is similar to the upcoming location based on one or more of a road grade, a traffic congestion, a vehicle speed, and a speed limit.

9. The method of claim 1 , wherein the confidence level is based on a statistical variance of data from the cloud, wherein the variance is based on differences between predicted and measured values of one of more of vehicle speed, grade, wind, ambient temperature, battery temperature, battery power, climate energy and sun load at the upcoming location among similar vehicles.

10. A system of a vehicle, comprising:
a battery;
an auxiliary system;
a coolant system fluidly coupled to the battery and the auxiliary system; and
a controller comprising instructions stored on non-transitory memory thereof that when executed enable the controller to:
predict a plurality of battery temperatures at an upcoming location along a vehicle journey based on feedback from a plurality of onboard sensors and data from a cloud;
determine a confidence level for each of the plurality of predicted battery temperatures; and
increase a cooling above a current battery cooling demand prior to reaching the upcoming location in response to one or more of the plurality of predicted battery temperatures being greater than a threshold temperature and the confidence level being greater than a threshold confidence level.

11. The system of claim 10 , wherein data from the cloud includes battery temperatures from one or more vehicles travelling through the upcoming location with conditions similar to those estimated for the vehicle, wherein similarities between conditions of the one or more vehicles and the vehicle include a make, a model, manufacture data, a manufacture location, a driver age, a driver sex, a number of occupants, a battery age, a battery size, a maintenance history, a driver aggressiveness, an ambient temperature, a sun load, and an interior climate temperature.

12. The system of claim 10 , wherein the plurality of battery temperatures is predicted based on different battery heat transfer rates in combination with predicted conditions at the upcoming location.

13. The system of claim 10 , wherein an amount the cooling is increased is proportional to a difference between a predicted battery temperature and the threshold temperature, wherein the amount of cooling is based on a coolant temperature and flow rate, as determined by one or more of a pump speed, a valve position, a compressor speed, an active grill shutter position, and a fan speed.

14. The system of claim 10 , wherein a timing of the increase in the cooling above the current battery cooling demand is advanced in response to an interior cooling demand being relatively high.

15. The system of claim 10 , wherein the instructions further enable the controller to apply one or more updates to a model for predicting the plurality of battery temperatures, wherein one or more updates to the model are based changes to one or more of a vehicle age, vehicle hardware variations, driver behavior, and interior climate temperature.

16. A method, comprising:
predicting a battery temperature at an upcoming location of a vehicle route;
determining a confidence level of the predicted battery temperature; and
preemptively cooling a battery in response to the predicted battery temperature exceeding a threshold temperature and the confidence level being greater than a threshold confidence by increasing a cooling demand to a rate greater than a currently demanded battery cooling;
not preemptively cooling the battery in response to the predicted battery temperature being less than or equal to the threshold temperature or the confidence level being less than the threshold confidence; and
decreasing cooling to the battery in response to the predicted battery temperature being less than or equal to the threshold temperature and the confidence level being higher than the threshold confidence.

17. The method of claim 16 , further comprising requesting a new predicted battery temperature in response to the confidence level being less than the threshold confidence.

18. The method of claim 16 , wherein predicting the battery temperature includes estimating conditions at the upcoming location and assuming different heat transfer rates at the upcoming location.

19. The method of claim 16 , wherein a coolant system fluidly coupled to the battery is further coupled to an auxiliary system, and wherein preemptively cooling the battery includes advancing a timing of an

Assignees

• Ford Global Tech Llc

Inventors

• Wiese Ashley
• Porras Angel
• Mazaira Jordan
• Buckland Seeds Julia Helen
• Wang Hao
• Biberstein Erik
• Vuylsteke Gabrielle
• Hariharan Ashwin
• Lu Chenliu Stephen
• Razzano Ron

Classifications

• B60L58/26 Primary

  by cooling · CPC title

• H01M10/633 Primary

  characterised by algorithms, flow charts, software details or the like · CPC title

• Y02T10/70

  Energy storage systems for electromobility, e.g. batteries · CPC title

• B60L2240/545

  Temperature · CPC title

• B60L2260/56

  Temperature prediction, e.g. for pre-cooling · CPC title