The ARTEMIS European driving cycles for measuring car pollutant emissions.

By M. André. Science of the Total Environment, 2004

667 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

An investigation on the effect of driver style and driving events on energy demand of a PHEV (2012, methodology): “They are used for vehicular emission inventory calculation and emission modelling based on time (per day, month and year) and region (urban, rural and national level)[5, 6].”
Vehicle-to-grid feasibility: A techno-economic analysis of EV-based energy storage (2017, methodology): “The energy consumed for each journey is then calculated using the ARTEMIS (Assessment and Reliability of Transport Emission Models and Inventory Systems) drive cycle [35].”
State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries (2020, neutral): “applications [32].”
Machine learning pipeline for battery state-of-health estimation (2021, methodology): “Group III includes 8 Kokham 740 mAh batteries that have been dynamically cycled under the ARTEMIS [62] dynamic driving proﬁle, followed by characterisation cycles.”
Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles (2012, methodology): “In contrast, for the CADC, the fuel consumption would increase to about 6.4 l/100 km for the same rate of health degradation.”