optiTruck innovative technologies

The optiTruck project involves many disciplines and requires interdisciplinary team work. Big Data analytics, cloud computing, data security, predictive algorithms, electronic systems, embedded software systems, engine and after-treatment systems modelling, vehicle modelling are some of the disciplines that will be used in the project. The effective integration of relevant disciplines will lead to the development of a successful prototype to demonstrate a total of 21.6% of fuel reduction while meeting the EURO VI emission constraints.

10 innovative powertrain control elements form the skeleton of the optiTruck project concept:

  1. Optimisation of powertrain control and calibration according to real world driving behaviour
  2. Engine control optimisation using predictive and real time model based control approaches
  3. Adaptation to dynamic changes in vehicle load and aerodynamic forces
  4. Optimised after-treatment controls
  5. Predictive management and control of auxiliary systems
  6. Predictive management of cooling system
  7. Energy flow operating mode coordinator
  8. Driving patterns of surrounding vehicles
  9. Driver support information system (ecoNavigator or ecoDriving for trucks)
  10. Definition of the transport mission and initial calibration of optimum points

The combination of the innovation elements will bring a total fuel consumption reduction of 21.6%.

optiTruck Concept diagram

The project concept is clearly illustrated in the concept diagram here below.

The optiTruck project will develop an intelligent and predictive powertrain control system. The system will utilise the information provided by new generation navigation systems and big data analytics such as predictive traffic and weather conditions, road topography and road network and information about transport mission to develop a strategy for the best route and the best velocity profile for fuel consumption optimisation. The developed strategy will be optimised dynamically in real road conditions in real time using the dynamic traffic and weather information and surrounding vehicle information. The global optimiser, using a predictive model based control system will realise a minimum of 20% fuel consumption reduction while optimising also the consumption of other consumables related to emission control on a typical transport mission without exceeding EURO VI emission level.