Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicle

no code implementations • 17 Mar 2024 • Suyong Park, Duc Giap Nguyen, Jinrak Park, Dohee Kim, Jeong Soo Eo, Kyoungseok Han

This study presents a method for deep neural network nonlinear model predictive control (DNN-MPC) to reduce computational complexity, and we show its practical utility through its application in optimizing the energy management of hybrid electric vehicles (HEVs).

energy management Management +1