Call for paper

With the global more and more stringent regulations, achieving cleaner, more fuel efficient and safer vehicles are urgent problems for solutions. In fact most novel technologies in the field of internal combustion engines, transmissions or alternative propulsion systems could not achieve their full potential without the help of automatic control. In turn, control design and validation need solid support form physical modeling and simulation in order to be effective. The E-CoSM 2018 will explore new trends in engine and powertrain control, simulation and modeling. The aim is to bring researchers and practitioners from industry and academia together to present and discuss the latest academic research developments relating to the basics and emerging topics, as well as industrial experience in deploying real world applications.

Regular papers presented at E-CoSM 2018 will be hosted and freely available on-line on the website and will be citable via an ISSN and a DOI. Papers published in IFAC-PapersOline are indexed in Scopus, EI and WoS. The best papers will be considered for publication in affiliated IFAC journals and Control Theory and Technology (Journal of Control Theory and Applications).

Click here to download full call for paper.



Topics of interest will be focused on, but not limited to:

1. System modeling and simulation frameworks for engine and powertrain control design, validation and calibration.

2. Model-based control, estimation and diagnostics for the new generations of CI and SI engines and their exhaust gas aftertreatment.

3. Modeling, optimization and control for hybrid and electrified vehicles and their components.

4. Thermal management for next generation vehicles.

5. Control design for 2WD, 4WD and high mobility multipurpose wheeled vehicles.

6. Applications of intelligent technologies to vehicle powertrains for supervision, energy management and diagnostics type.


Industrial Paper

IFAC aims at increasing the industrial participation at all IFAC conferences. In this conference, we strongly encourage and solicit submissions of industrial papers, either regular or invited. Industrial papers require less technical details than normal papers to lighten the load on industrial engineers in preparing the manuscripts. Typically it is an extended abstract of 2 pages, however longer contributions are welcome.

To qualify as an industrial paper, the paper must have at least one of the following features:

1. Description of advanced modeling/control/automation methods or approaches that have been recently and successfully applied. Focus on the added value to the quality, safety, robustness, cost of installation, running and maintenance cost, lifetime, etc. of the process.

2. The plant, device or system is not a laboratory test bench but is used by the customer on a regular basis.

3. Application, research and development (R&D), and innovation activities.

4. Description of open problems and issues related to the lack of existing methodologies/technologies in the area of automatic control.

5. Description of a vision relevant to industrial applications.

Additionally, both the first author and corresponding author must be from the industry. No product advertisement or company advertisement will be allowed. A regular industrial paper is an industrial paper submitted by an author working in the industry according to the previous general lines; an invited industrial paper is an industrial paper that is invited by the organizer(s) of an invited session as part of the program of that session.

Page limits

Typically an industrial paper (regular or invited) will consists of a 2 pages extended abstract; however, longer papers are welcome, up to a maximum of 6 pages. Longer papers will also be accepted, up to 9 pages, but a fee of 100 Euro for each extra page will be required. Papers of more than 9 pages will be rejected.


Submissions have to be made electronically within the Conference Manuscript Management System PaperCept, using the webpage of the conference.


Benchmark Problem Solving

The conference also establishes the Benchmark Problem Solving competition on "Rail Pressure Control of Common Rail System for Gasoline Direct Injection Engines". For more details in Chinese please visit

Problem Description

In order to reduce pollutant emissions required by more and more strictly emission legislations, and further improve engine performance perceived by customers, the gasoline direct injection (GDI) has been applied to the gasoline engine system for improving the engine combustion. As one of the most important parts in GDI engine fuel-path system, the fuel Rail Pressure Control (RPC) system provides the requested rail pressure for injectors to realize gasoline direct injection. Hence, the rail pressure control for obtaining desired injection pressure and reducing effectively the pressure fluctuation becomes one of the fundamental control tasks in GDI engines. The description of the control problem is detailed in the attachment.

Regulations & request

1. Please choose the form of competition first, individual or team, only one contestant is required to fill in the Contestant 1. No more than 5 Contestants are required to participate in the competition.

2. Fill out the application and send it to The Simulation model will be sent to you via E-mail as soon as possible.

3. Design a direct injection gasoline engine rail pressure controller (Matlab 2012a) and control the given model.

4. The Invited Session is set up for the Benchmark competition. Authors can submit papers of the work in the Benchmark competition for E-CoSM 2018, session code is 5e4r9. Send the control model to at the same time.

5. Contestants can also submit the design process and simulation results in the form of report, together with the control model, send them to before June 30, 2018.6. Committee will test and score the models on the simulation platform of engine rail pressure system, and select winners.

7. Best papers will be considered for publication in Control Theory and Technology (Journal of Control Theory and Applications).


Qifang Liu            Jilin University

Bingzhao Gao      Jilin University


Benchmark Application

Description of the Control Problem