Battery thermal management system and methods of use

• US 9,834,114 B2
• Filed: 08/27/2015
• Issued: 12/05/2017
• Est. Priority Date: 08/27/2014
• Status: Active Grant

• Current Assignee: Quantumscape Battery Incorporated
• Original Assignee: Quantumscape Corporation
• Inventors: Hettrich, Kevin, Wojcik, Tomasz
• Primary Examiner(s): Troost, Aaron L
• Application Number:
  US14/838,218
• Publication Number:
  US 20160059733A1
• Time in Patent Office: 831 Days
• CPC Class Codes: B60L 58/27 by heating
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: Y02E 60/10 Energy storage using batteries
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 90/16 Information or communication technologies improving the operation of electric vehicles

Abstract

Set forth herein are systems and methods for determining battery heating conditions and pre-heating lead times of at least a minute or more, based on input parameters and sets of input parameters, to predictively and dynamically heat a secondary battery so that the battery has a specific power output and performance level when used in an electric or hybrid vehicle application.

Claims

1. A secondary battery thermal management system, the system comprising:

at least one temperature sensor for determining a temperature of a battery, the battery being a secondary battery;

at least one wireless communications device for receiving at least one of a plurality of input parameters; and

a chip configured for

determining an optimized battery temperature as a function of a predicted driving route,

determining a vehicle start time by analyzing the plurality of input parameters and assigning weighting factors to each of the plurality of input parameters;

providing a control signal to either the battery, or a heating device, to heat the battery to the optimized battery temperature with a heating lead time of at least a minute or more, and

comparing the vehicle start time with an actual vehicle start time, and adjusting the weighting factors based on the comparison.

2. The system of claim 1, wherein the battery is a lithium ion secondary battery.

3. The system of claim 2, wherein the lithium ion secondary battery comprises a cathode comprising conversion chemistry active materials.

4. The system of claim 2, wherein the lithium ion secondary battery comprises a cathode comprising lithium intercalation chemistry active materials.

5. The system of claim 1, wherein the control signal is selected from the group consisting of Bluetooth signals, cellular signals, Wi-Fi signals, wireless communication device signals, network towers signals, tablets signals, smartphones signals, home security system signals, 3G device transmissions, 4G device transmissions, and combinations thereof.

6. The system of claim 1, wherein the chip determines a heating lead time of at least two minutes.

7. The system of claim 1, wherein the chip determines a heating lead time of at least five minutes.

8. The system of claim 1, wherein the chip determines a heating lead time of at least ten minutes.

9. The system of claim 1, wherein the chip determines a heating lead time of at least fifteen minutes.

10. The system of claim 1, wherein the chip determines a heating lead time of at least thirty minutes.

11. The system of claim 1, wherein the chip determines a heating lead time of at least thirty minutes but less than two hours.

12. The system of claim 1, wherein the chip determines a heating lead time of at least thirty minutes but less than one hour.

13. The system of claim 1, wherein the heating lead time is 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, or 10 minutes.

14. The system of claim 1, further comprising a data storage device for storing information selected from the group consisting of vehicle use, battery heating characteristics, battery performance as a function of temperature, and combinations thereof.

15. The system of claim 1, further comprising a temperature sensor for determining the ambient temperature in proximity to the battery.

16. The system of claim 1, wherein the heating lead time is 1, 1.5, 2, 2.5, 3, 3.5, or 4 minutes.

17. The system of claim 1, further comprising a device that performs the comparing the vehicle start time with the actual vehicle start time.

18. The system of claim 17, wherein the device for comparing is the chip.

19. The system of claim 18, wherein the device performs comparisons of (a) the vehicle start time with the actual vehicle start time, (b) a drive location with an actual drive location, and (c) a heat power rating with an actual heat power rating.

20. The system of claim 1, further comprising a device for comparing predicted drive locations to actual drive locations.

21. The system of claim 1, further comprising a device for comparing predicted heat power ratings to actual heat power ratings.

22. A method for secondary battery thermal management in a vehicle, the method comprising:

determining a temperature of a battery;

using an algorithm, determining a vehicle start time by analyzing a plurality of input parameters and assigning weighting factors to each of the plurality of input parameters;

determining an optimized battery temperature as a function of a predicted driving route;

providing a control signal to either the battery, or a heating device, to heat the battery to the optimized battery temperature with a heating lead time of at least a minute or more; and

comparing the vehicle start time with an actual vehicle start time, and adjusting the weighting factors based on the comparison;

thereby providing thermal management for the battery.

23. The method of claim 22, wherein the plurality of input parameters are selected from the group consisting of inputs that are personal to a user/vehicle, inputs that are generally applicable, and combinations thereof.

24. The method of claim 22, wherein the plurality of input parameters are selected from the group consisting of inputs that are historical, inputs that are current, and combinations thereof.

25. The method of claim 22, wherein the plurality of input parameters are selected from the group consisting of inputs that are sensed, inputs that are referenced, and combinations thereof.

26. The method of claim 22, wherein the plurality of input parameters are selected from the group consisting of inputs that are historical personal inputs, current sensed personal inputs, current referenced personal inputs, historical general inputs, current general inputs, and combinations thereof.

27. The method of claim 26, wherein the historical general inputs are selected from the group consisting of:

historical traffic information, historical weather data, and combinations thereof.

28. The method of claim 26, wherein the current general inputs are selected from the group consisting of:

current traffic data, current weather data, general calendar data, electricity prices, and combinations thereof.

29. The method of claim 26, wherein the historical personal inputs are selected from the group consisting of:

past driving data for a user and/or vehicle, availability of charging equipment at past destinations, battery characteristics, battery warming characteristics, heating device characteristics, vehicle characteristics, and combinations thereof.

30. The method of claim 26, wherein the current sensed personal inputs are selected from the group consisting of:

the current temperature of a battery, the current state of charge of the battery, the current temperature of a vehicle, current ambient temperature, the current location of a vehicle, the current location of a user or users, the proximity of a user to a vehicle, the location of a user with respect to particular locations, the current availability of charging equipment, and combinations thereof.

31. The method of claim 26, wherein the current referenced personal inputs are selected from the group consisting of:

user instructions and/or preferences, a status of an additional transportation provider or transit option, a user'"'"'s calendar/schedule, a user'"'"'s upcoming commitments, and a user'"'"'s email messages, text messages, similar communications, and combinations thereof.

32. The method of claim 22, wherein the plurality of input parameters are selected from the group consisting of:

data from a user'"'"'s electronic device(s), device to vehicle communication, destination information, traffic information, weather information, customer preferences, customer input, and combinations thereof.

33. The method of claim 22, wherein the plurality of input parameters include one or more signals from a user'"'"'s electronic device.

34. The method of claim 33, wherein the signals from a user'"'"'s electronic device relate to information included in a text message, email, or combinations thereof.

35. The method of claim 33, wherein the user'"'"'s electronic device includes one or more devices selected from the group consisting of a user'"'"'s cellular phone, a user'"'"'s computer, a user'"'"'s laptop, a user'"'"'s tablet, and a user'"'"'s PDA.

36. The method of claim 22, wherein a heating of the battery is dynamic such that the optimized battery temperature enables a predicted power requirement by the vehicle based on a predicted vehicle use.

37. The method of claim 22, wherein the plurality of input parameters are selected from the group consisting of,

vehicle use information selected from the group consisting of statistical probability of drive starts as a function of previous drive start, drive times, time of drive starts, drive lengths, drive routes, geography of drives, driving pattern information, past battery warming conditions, past vehicle performance conditions, past battery performance conditions, feedback information, and combinations thereof,

location information selected from the group consisting of driver location, passenger location driver location with respect to vehicle location, passenger location with respect to vehicle location, GPS location of user'"'"'s smartphone, GPS/Wi-Fi/cellular location of fob, proximity of fob to vehicle, GPS/Wi-Fi/cellular location of vehicle key, proximity of vehicle key to vehicle, user'"'"'s proximity to the vehicle, location of the vehicle, driver location with respect to home, drive location with respect to airport, driver location with respect to work place, driver location with respect to common drive locations, driver location with respect to preselected destinations, driver location with respect to saved destinations, and combinations thereof,

drive types selected from the group consisting of start location of drives, end location of drives, total distance of drives, average distance of drives, velocity of drives, average velocity of drives, traffic conditions of drives, and combinations thereof,

temperature information selected from the group consisting of battery temperature, ambient temperature, vehicle temperature, and combinations thereof,

heating device, battery, and/or vehicle information selected from the group consisting of battery, energy capacity, state of charge of battery, battery self-discharge rate, a relationship between or more of power of battery, temperature of battery, state of charge of battery, and age of battery, a thermal time constant for the battery, capacity of the heating device, efficiency of the heating device, powertrain of vehicle, thermal system configuration of vehicle, motor power of vehicle, powertrain efficiency of vehicle, vehicle minimum power output level for safe driving, and combinations thereof,

weather information selected from the group consisting of current weather conditions, weather forecast, temperature, precipitation, visibility, and combinations thereof,

driver inputs selected from the group consisting of immediate start instructions, delayed start instructions, start cancellation instructions, a user-specified performance level, and combinations thereof,

user information selected from the group consisting of driver'"'"'s calendar information, passenger'"'"'s calendar information, smartphone information, historical use information, and combinations thereof,

external information selected from the group consisting of information acquired from emails on user'"'"'s wireless communication device, information acquired from texts on user'"'"'s smartphone, and combinations thereof,

traffic information selected from the group consisting of traffic conditions, road conditions, construction conditions, detour conditions, and combinations thereof,

calendar information selected from the group consisting of day of the week, month of the year, holiday information, and combinations thereof, optionally in combination with a user specified performance level,

charging equipment availability information selected from the group consisting of availability of charging equipment at vehicle'"'"'s current location, availability of charging equipment at vehicle'"'"'s expected destination, and combinations thereof, optionally in combination with a status of an additional transportation provider and/or a status of an additional transit option,

and combinations thereof.

38. The method of claim 37, wherein the user proximity is determined by a device selected from the group consisting of a vehicle sensor, vehicle camera, GPS device, Wi-Fi device, cellular device, infrared radiation device, and combinations thereof.

39. The method of claim 37, wherein the plurality of input parameters are selected from the group consisting of:

the driver location, the passenger location, and the location of the vehicle.

40. The method of claim 22, wherein the step of providing a control signal to either the battery, or a heating device, to heat the battery to the optimized battery temperature comprises dynamically heating the battery according to a predicted vehicle use comprising the predicted driving route.

41. The method of claim 22, wherein the predicted driving route is a probability of a driving route determined from a plurality of driving routes previously taken.

42. The method of claim 22, wherein the optimized battery temperature is also a function of a predicted type of drive expected, and wherein the predicted type of drive expected is a function of at least one of a predicted city driving, highway driving, aggressive driving, or non-aggressive driving, and driver age or driver demographic.

43. The method of claim 22, wherein the determining step includes determining a temperature of the battery and ambient air temperature.

44. A secondary battery thermal management system, the system comprising:

at least one temperature sensor for determining a temperature of a battery, the battery being a secondary battery; and

a chip configured for

determining a vehicle start time by analyzing a plurality of input parameters and assigning weighting factors to each of the plurality of input parameters,

determining an optimized battery temperature,

providing a control signal to either the battery, or a heating device, to heat the battery to the optimized battery temperature with a heating lead time of at least a minute or more, and

comparing the vehicle start time with an actual vehicle start time, and adjusting the weighting factors based on the comparison;

wherein the chip determines the optimized battery temperature as a function of a type of drive expected that is at least one of a predicted city driving, highway driving, aggressive driving, or non-aggressive driving, driver age and driver demographic.