creator Rodriguez, Fernando creator Lukic, Srdjan M. creator Emadi, Ali This invention relates a control strategy for a hybrid electric vehicle having an electric motor, a battery and an internal combustion engine. The control strategy improves fuel economy and reduces emissions while providing sufficient acceleration over a varying set of driving conditions through an adaptive control unit with an artificial neural network. The artificial neural network is trained on a pre-processed training set based on the highest fuel economies of multiple control strategies and multiple driving profiles. Training the artificial neural network includes a training algorithm and a learning algorithm. The invention also includes a method of operating a hybrid electric vehicle with an adaptive control strategy using an artificial neural network. Submitted by Aric Ahrens (ahrens@iit.edu) on 2012-03-22T17:03:21Z No. of bitstreams: 1 7954579.pdf: 632580 bytes, checksum: 7f7c6e61ee66cf17868162551cf12964 (MD5) Made available in DSpace on 2012-03-22T17:03:21Z (GMT). No. of bitstreams: 1 7954579.pdf: 632580 bytes, checksum: 7f7c6e61ee66cf17868162551cf12964 (MD5) Previous issue date: 2011-06-07 Illinois Institute of Technology 2012-03-20 2011-06-07 7,954,579 en United States Patent text reformatted digital application/pdf No Copyright - United States http://rightsstatements.org/page/NoC-US/1.0/ Open Access http://hdl.handle.net/10560/islandora:9842