Towards an Analytical Eco-Driving Cycle Computation for Conventional Cars
| Autor: | Nicolas Dollinger, Yann Chamaillard, Kristan Gillet, Emmanuel Nault, Guillaume Colin, Cédric Nouillant, Madjid Zerar |
|---|---|
| Přispěvatelé: | Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Laboratoire d'Automatique et de Productique (LAP), Université Sciences et Technologies - Bordeaux 1-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS), PSA Peugeot - Citroën (PSA), PSA Peugeot Citroën (PSA) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Computer science 020208 electrical & electronic engineering Control variable 02 engineering and technology 7. Clean energy Expression (mathematics) [SPI.AUTO]Engineering Sciences [physics]/Automatic 020901 industrial engineering & automation Maximum principle Internal combustion engine Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Trajectory Torque Driving cycle ComputingMilieux_MISCELLANEOUS |
| Zdroj: | IFAC International Symposium on Advances in Automotive Control IFAC International Symposium on Advances in Automotive Control, Jul 2019, Orléans, France. pp.550-555, ⟨10.1016/j.ifacol.2019.09.087⟩ |
| DOI: | 10.1016/j.ifacol.2019.09.087⟩ |
| Popis: | This paper proposes an analytical methodology to obtain a fuel optimal vehicle speed trajectory in order to realize a trip with a conventional vehicle with an internal combustion engine (ICE). In order to give an analytical formulation of the issue, Pontryagin’s Maximum Principle (PMP) was used. The expression considers the driving constraints (e.g. consumption, distance, duration) with respect to control variables (e.g. time, position, vehicle speed, engine torque). The knowledge of an optimality is needed to find the optimal solution. The reference solution used to compare results was Dynamic Programming (DP). The analytical methodology developed in this paper led to a +1.1% error in consumption compared to DP simulations for the same trip with the same constraints of rendez-vous. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|