Battery thermal management system and methods of use

US2022371473A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2022371473-A1
Application numberUS-202117533626-A
CountryUS
Kind codeA1
Filing dateNov 23, 2021
Priority dateAug 27, 2014
Publication dateNov 24, 2022
Grant date

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Abstract

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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.

First claim

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1 - 47 . (canceled) 48 . 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 an electronic device configured for determining an optimized battery temperature as a function of a predicted driving route; 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 a vehicle's actual driving record to the predicted driving route, and adjusting the weighting factors based on the comparison. 49 . The system of claim 58 , wherein the plurality of input parameters comprises vehicle use information selected from the group consisting of a 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. 50 . The system of claim 58 , wherein the plurality of input parameters comprises direct user input including at least one of drive start time, driving schedule, and driving preferences. 51 . The system of claim 58 , wherein the plurality of input parameters are selected from the group consisting of historical personal inputs, current sensed personal inputs, current referenced personal inputs, historical general inputs, current general inputs, and combinations thereof. 52 . The system of claim 61 , 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, a user's email messages, text messages, a smart device, and combinations thereof. 53 . The system of claim 58 , wherein the plurality of input parameters comprises a relationship between temperature of the battery and at least one of battery energy capacity, state of charge of battery, and age of battery. 54 . The system of claim 58 , the plurality of input parameters comprise vehicle information selected from the group consisting of weight of the vehicle, motor power of the vehicle, powertrain of vehicle, thermal system configuration of vehicle, powertrain efficiency of vehicle, vehicle minimum power output level for safe driving, and combinations thereof; and expected drive type selected from the group consisting of city driving, highway driving, aggressive driving, non-aggressive driving, high-traffic, stop light traffic, and combinations thereof, wherein analyzing the plurality of input parameters includes determining a power level based on the expected drive type and vehicle information. 55 . The system of claim 58 , wherein the optimized battery temperature is at least 20° C. 56 . The system of claim 58 , wherein the optimized battery temperature is at least 30° C. 57 . The system of claim 58 , wherein the optimized battery temperature is at least 40° C. 58 . A method for secondary battery thermal management in a vehicle, the method comprising: determining a temperature of a battery and optionally the ambient air temperature; analyzing a plurality of input parameters; providing a control signal to either the battery, or a heating device, to heat the battery dynamically to temperatures optimized for a predicted vehicle use; wherein the control signal comprises a heating power rating and a heating lead time of at least a minute or more based on the determined temperature and at least one of the plurality of input parameters; thereby providing thermal management for the battery. 59 . The method of claim 48 , wherein the plurality of input parameters comprise one or more 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, driver 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 two 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 cancelation 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 co

Assignees

Inventors

Classifications

  • Information or communication technologies improving the operation of electric vehicles · CPC title

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

  • Energy storage using batteries · CPC title

  • Location-based management or tracking services · CPC title

  • B60L58/27Primary

    by heating · CPC title

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What does patent US2022371473A1 cover?
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.
Who is the assignee on this patent?
Quantumscape Battery Inc
What technology area does this patent fall under?
Primary CPC classification B60L58/27. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Thu Nov 24 2022 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 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).