Battery thermal management system and methods of use

US2019359083A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2019359083-A1
Application numberUS-201916436878-A
CountryUS
Kind codeA1
Filing dateJun 10, 2019
Priority dateAug 27, 2014
Publication dateNov 28, 2019
Grant date

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

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

Opening claim text (preview).

1 - 47 . (canceled) 48 . 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 vehicle start time and a vehicle start time probability of correctness; 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; comparing the vehicle start time probability of correctness with an actual vehicle start time, and adjusting an algorithm for providing the vehicle start time based on the comparison; thereby providing thermal management for the battery. 49 . 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 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. 50 . The method of claim 48 , 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 starts, 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. 51 . The method of claim 48 , wherein the plurality of input parameters comprises 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. 52 . The method of claim 48 , 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. 53 . The method of claim 52 , 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 user's virtual assistant, a smart device, and combinations thereof. 54 . The method of claim 48 , wherein the plurality of input parameters comprises big data inputs, wherein big data inputs include a characteristic selected from, age, geography of user, education of user, geography of drive(s), income of user, job type of user, driving experience of user, location of user, sex of user, and population density for the demographic in a particular region. 55 . The method of claim 48 , wherein the plurality of input parameters comprises user preferences, wherein user preferences are input using a user interface in/on the vehicle, on a smart phone, tablet, or computer. 56 . The method of claim 55 , wherein the user preferences are stored in computer memory. 57 . The method of claim 48 , 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. 58 . 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 pre

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

  • Location-based management or tracking services · CPC title

  • B60L58/27Primary

    by heating · CPC title

  • Cross-Sectional Technologies · mapped topic

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US2019359083A1 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 Corp
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 28 2019 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 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).