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


Giovanni Vagnoni

RWTH Aachen University

Sebastian Petri

RWTH Aachen University

Ferenc Aubeck

RWTH Aachen University

Johan Lindberg

Volvo Group

Esteban Gelso

Volvo Group

Nikolce Murgovski

Chalmers, Electrical Engineering, Systems and control

Mohammed Razaul Karim

Chalmers, Electrical Engineering, Systems and control

Joschka Schaub


Andrea Pantaleo


Aachen Colloquium Automobile and Engine Technology

Aachen Colloquium Automobile and Engine Technology
Aachen, Germany,

IMPERIUM - Implementation of powertrain control for economic and clean real driving emission and fuel consumption

European Commission (EC) (EC/H2020/713783), 2016-09-01 -- 2019-08-31.

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Transport Systems and Logistics

Control Engineering

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