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Adaptive control strategy and method for optimizing hybrid electric vehicles

  • US 7,954,579 B2
  • Filed: 02/04/2008
  • Issued: 06/07/2011
  • Est. Priority Date: 02/04/2008
  • Status: Active Grant
First Claim
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1. A hybrid electric vehicle including an electric motor, a battery and an internal combustion engine, the vehicle comprising:

  • a power control module having an adaptive control unit for interfacing with sensors and actuators of the electric motor, the battery and the internal combustion engine;

    the adaptive control unit including an artificial neural network that is adapted to changing driving conditions or patterns, the artificial neural network comprising an input layer, a hidden layer and an output layer, wherein the input layer comprises between five and fifty neurons, the hidden layer comprises between five and fifty neurons and the output layer comprises between one and ten neuron; and

    a combined control strategy for an entire operating range of the hybrid electric vehicle including a plurality of control strategies for a plurality of driving profiles with optimized operation points of each of the plurality of driving profiles, wherein the artificial neural network combines the optimized operation points of each of the plurality of driving profiles into the combined control strategy.

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