Battery state of function prediction with self-learning

US10150479B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10150479-B2
Application numberUS-201615255462-A
CountryUS
Kind codeB2
Filing dateSep 2, 2016
Priority dateSep 2, 2016
Publication dateDec 11, 2018
Grant dateDec 11, 2018

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A system for a vehicle having an engine and a battery includes a memory and a controller. The memory has a predicted current expected to be provided by the battery for restarting the engine during a cranking event. The controller is configured to predict a minimum voltage of the battery expected during the cranking event based on the predicted current and to update the predicted current in the memory as a function of the predicted current and an actual current actually provided by the battery for restarting the engine during the cranking event.

First claim

Opening claim text (preview).

What is claimed is: 1. A system for a vehicle having an engine and a battery, comprising: a memory having a predicted current expected to be provided by the battery for restarting the engine during a cranking event; and a vehicle controller configured to predict a minimum voltage of the battery expected during the cranking event based on the predicted current and to update the predicted current in the memory as a function of the predicted current weighed by a factor α and an actual current actually provided by the battery for restarting the engine during the cranking event weighted by a factor (1−a), where 0<a<1; wherein the vehicle controller is further configured to enable the engine to be stopped ahead of the cranking event when the predicted minimum voltage of the battery is greater than a minimum voltage threshold and to prevent the engine from being stopped ahead of the cranking event when the predicted minimum voltage of the battery is less than the minimum voltage threshold; and wherein the vehicle controller is further configured to predict a minimum voltage of the battery expected during a next cranking event based on the predicted current and to update the predicted current in the memory as a function of the predicted current weighed by the factor a and an actual current actually provided by the battery for restarting the engine during the next cranking event weighted by the factor (1−a). 2. The system of claim 1 wherein: the factor α is less than 0.5 whereby the actual current is a greater contributor than the predicted current in updating the predicted current in the memory. 3. The system of claim 2 wherein: the factor α is within a range 0.2≤α<0.5. 4. The system of claim 1 wherein: the predicted current is a function of predicted currents expected to be provided by the battery for restarting the engine during previous cranking events and actual currents actually provided by the battery for restarting the engine during the previous cranking events. 5. The system of claim 1 wherein: the vehicle controller is further configured to predict the minimum voltage of the battery expected during the cranking event based further on an internal resistance of the battery and to update a value of the internal resistance of the battery as a function of the actual current and an actual minimum voltage of the battery actually occurring during the cranking event. 6. The system of claim 1 wherein: the vehicle controller is further configured to predict the minimum voltage of the battery expected during the cranking event based further on a predicted variation of a voltage of the battery due to current flowing from the battery between an instant at which the controller predicts the minimum voltage of the battery and an initiation of the cranking event. 7. The system of claim 1 wherein: the vehicle controller is further configured to calculate the factor α as a function of a difference between the predicted minimum voltage of the battery and an actual minimum voltage of the battery actually occurring during the cranking event.

Assignees

Inventors

Classifications

  • Starting of engines by means of electric motors · CPC title

  • Start-stop drive, e.g. in a traffic jam · CPC title

  • Conditions for starting or stopping the engine or for deactivating the idle-start-stop mode · CPC title

  • Starter current · CPC title

  • Engine management systems · CPC title

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What does patent US10150479B2 cover?
A system for a vehicle having an engine and a battery includes a memory and a controller. The memory has a predicted current expected to be provided by the battery for restarting the engine during a cranking event. The controller is configured to predict a minimum voltage of the battery expected during the cranking event based on the predicted current and to update the predicted current in the …
Who is the assignee on this patent?
Lear Corp
What technology area does this patent fall under?
Primary CPC classification B60W30/18018. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Dec 11 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). 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).