AI-Enhanced Energy Efficiency and Engine Performance Optimization

The high carbon footprint of the transportation sector has prompted the growing introduction of stricter emission regulations and more demanding customer expectations with regards to fuel economy. Nevertheless, the evolution in powertrain architectures and control strategies has not yet been able to follow a similar pace in order to ensure that such regulations are met, nor to achieve the commitment to net-zero CO2 emissions by 2050. As such, the energy efficiency of the powertrain should continue to be analyzed and improved, while also accounting for the additional acting constraints on emissions, performance and drivability. Besides supporting the minimization planning of powertrain demonstrators, the global methodology contributes to define data-driven control strategies targeting engine performance optimization through energy efficiency enhancement.