Predictive engine and aftertreatment control concepts for a heavy-duty long-haul truck

Paper i proceeding, 2018

This paper considers the modular control framework for energy and emissions management developed within the IMplementation of Powertrain Control for Economic and Clean Real driving emIssion and fuel ConsUMption (IMPERIUM) project. The framework is proposed for a long haul truck equipped with a 13 L Volvo Diesel engine and it aims to improve the operating system efficiency. Its main function blocks are: Transport Mission Management, Vehicle Environment, Route Situation, Traffic Situation, Vehicle Motion Management and Device Abstractions. The focus of the paper is the development and the evaluation of three key functions of the control framework: the Integrated Engine and After-Treatment System (EATS) Supervisory Controller and two local controllers, for the engine and the after-treatment. Whilst for the last two only a brief introduction is given, for the Integrated Engine and EATS Supervisory Controller a detailed description of the Optimal Control Problem (OCP) formulation and its solution strategies is provided. A controller is proposed based on a moving horizon Nonlinear Model Predictive Control (NMPC), which is tested in a simulation environment and benchmarked against Dynamic Programming (DP) strategies.