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Battery state of function prediction with self-learning

  • US 10,150,479 B2
  • Filed: 09/02/2016
  • Issued: 12/11/2018
  • Est. Priority Date: 09/02/2016
  • Status: Active Grant
First Claim
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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).

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