Research Projects

      Overview

      OptiTruck – Cloud-based CO2 reduction in trucks

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      IAV is developing optimization algorithms for trucks in the "OptiTruck" project

      The EU has an ambitious target: by 2050, CO2 emissions in the transport sector should fall by 60% compared to 1990. The "OptiTruck" project aims to take a large step in this direction. Ten individual measures are intended to reduce fuel consumption ideally by up to 20% in trucks with conventional diesel powertrain. IAV is developing optimization algorithms for operating the engine and exhaust gas aftertreatment system.

      Project objective

      Which route should the truck use to emit as little CO2 as possible into the climate? Many factors have to be considered here in addition to the actual route: these include the specific vehicle, current traffic situation and even the weather conditions.

      This is why the cloud plays a central role in the EU OptiTruck project. Before starting the journey, the logistics dispatcher sends key data such as starting point and destination, load and delivery deadline to the computer cloud, which uses this information to calculate a choice of alternative routes with the lowest possible CO2 emissions. The calculations include not only the traffic situation but also vehicle parameters such as load and curb weight as well as the truck type.

      The best route can differ from day to day. A change in wind direction, for example, alters the CO2 emissions on the individual routes. And so the software on the cloud is constantly checking whether the truck is still on the ideal route. If necessary, it sends the driver an update by cell phone. On the other hand, the truck also keeps the cloud up to date, for example by notifying the software of any changes in weight after unloading goods.

      The individual, consumption-optimized target speed indicated by the cloud serves as input for extended predicative cruise control. In turn, its control signals act as input values for innovative optimization algorithms that predict the performance demands made of the engine and exhaust gas aftertreatment system to maximize their efficiency. Intelligent predictions also let the exhaust gas aftertreatment system make a contribution to reducing CO2 emissions. If the vehicle is about to start a longer uphill gradient, for example, regeneration of the DPF can be delayed until then because the exhaust temperature automatically increases under the higher load demand.

      OptiTruck even aims to optimize the combustion process in the diesel engine. An algorithm permits advance calculation of SCR efficiency for adjustment of the engine-out emissions.
      A demonstrator truck will probably be available by the end of 2018. At the same time, a simulation is being developed for testing individual functions from mid 2018 to estimate the influence of individual optimization measures.

      Partners
      IAV, Ford Otosan, University of Aalborg, University of Leeds, University of Okan, Hellenic Institute of Transport, Interuniversity Consortium for Optimization and Operation Research, Istituto Superiore Mario Boella, Eliadis Transport, Condognotto Italia

      Funding body
      European Union (Horizon 2020 Program of the EU)

      Project sponsor
      ERTICO-ITS Europe

      Project duration
      September 2016 to August 2019

      Further information: https://optitruck.eu

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