Abstract
Increasing restrictions on emissions and fuel consumption of internal combustion engines and availability of fast processors have resulted in an increased interest in using model predictive control (MPC) for vehicle powertrain control applications. This approach is capable of fast and near-optimal control of hybrid electric vehicle powertrains. In this article, different MPC power management strategies for a plug-in hybrid electric vehicle are evaluated, with different levels of trip information available to the controller, based on fuel economy.
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