Algorithmes, Énergie, Technologies de l’information et des communications (TIC), Technologies disponibles, Technologies propres


Obtient des performances de train aussi précises que les données d’entrée sont exactes

-Description en anglais seulement-

Challenge in operating costs of electric trains

  • The global simulation and analysis market is expected to reach USD 13.450 billion by 2022, at an expected CAGR of 16.5% during the forecast period (Market&Market). The automotive simulation market size is projected to reach USD 2.85 billion by 2015, at CAGR of 11.1% during the forecast period. Complexities in real-time control are a major restraint for automotive simulation market (Market&Market)
  • Nowadays many industrial sectors such as aeronautics, power systems design or medical apparatus design use digital twins to improve performance and maintenance. It is expected that the railway sector will follow this trend given the energy savings this technology can bring
  • The algorithms of the simulator do not incorporate the approximations which can be made by shortening the calculation times. However the user can skip useless load flow calculations when only train running time is needed and not the power delivered by the substations
  • Many Deficiencies in state-of-the-art software exist such as the difficulties of entering the characteristics of the rail network and the results approximation created by approximate algorithms
  • Software written in visual basic or C ++ does not use a commercial electrical network simulator. For example, it is painful to specify the location of electrical connections in the network and it is difficult to enter the characteristics of the rail network and approximate results
  • The simulator is presently used as a service to operators or consulting engineering firms but the authors are confident that professional engineers will grasp the object oriented code, parameters and models

Train control simulator

  • The invention incorporates a train simulator for the design of electric rail networks. This simulator allows establishing the dimensions and the quantity required of the power supply and energy storage in order to respect a pre-established performance of travel time or energy consumption
  • Our train control simulator observes and analyzes the performance of the trains (journey time and energy) according to the parameters as: trains mass, nominal and maximum acceleration, deceleration of stationary stop or space braking, variable voltage across the train, wagers location, the jerk, movement authority, the load which varies according to the stations…
  • This simulator also observes and analyzes the performance of the power network (energy) and the profile performance with round-trip train simulation
  • The simulator calibrated optimized the speed by adequately position the wagering tags on the ground, thus saving more than 10% of energy
  • Technology developed by François Ruelland and Prof. Kamal Al-Haddad at École de Technologie supérieure (ÉTS)

Competitive advantages

  • Ease of entering the parameters and the input data thanks mainly to GUI and especially thanks to the use of existing electrical network simulation software such as SymPower Systems
  • Saving 10 kWh of energy
  • Balancing user comfort and journey time
  • Showing a delay of 2.3 s, but a saving of 1.5 kWh: optimally balances operations
  • Maximizing transport capacity by allowing unlocking of setpoints below 90 s
  • Optimizing the operations and it is complementary for monitoring

Market applications

  • Engineering consulting firms for the design of electrical rail networks and
  • All network operators who take charge of the design of all or part of the networks

Business opportunity 

  • Technology available for licensing
  • Trade secret


If you are interested by this technology, please contact :
Duc LeVan, Director Business Development, Engineering,  (514) 840-1226, Ext. 3003


École de Technologie supérieure (ÉTS)

Main inventors


François Ruelland, CEO, Bougelec Inc

After 20 years in the Montreal transit company as a train control engineer where he took part in extension projects and major renovation studies, Mr. Ruelland starts a train simulation business in late 2017. His graduate studies at École de Technologie Supérieure (ETS) lead him to think there was room for custom simulation software companies for electrical transport businesses and consulting engineering firms. Mr Ruelland obtained his PhD in Electrical engineering from the ÉTS in the electrical traction and simulation field.


Kamal Al-Haddad, Professor, Electrical Engineering Department, ÉTS

Kamal Al-Haddad received the B.Sc.A. and M.Sc.A. degrees from the University of Québec à Trois-Rivières, QC, Canada, in 1982 and 1984, respectively, and the Ph.D. degree from the Institut National Polythechnique, Toulouse, France, in 1988. From June 1987 to June 1990, he was a Professor with the Engineering Department, Université du Québec à Trois Rivières. Since June 1990, he has been a Professor with the Electrical Engineering Department, École de Technologie Supérieure, Montreal, QC, Canada, where he has been the holder of the Canada Research Chair in Electric Energy Conversion and Power Electronics since 2002. He has supervised more than 80 Ph.D. and M.Sc.A. students working in the field of power electronics for various industrial applications. He has coauthored more than 400 transactions and conference papers. Dr. Al-Haddad is a Fellow of the Canadian Academy of Engineering, IEEE Industrial Electronics Society Vice President for Technical Activities, and Associate Editor of the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS