Driving Style Modelling for Eco-driving Applications

International audienceDriver modeling is an important subject in transportation systems and intelligent vehicles. These models can replace human driver to quantify and enhance the technological solutions by means of simulation. In this paper a driving style model for representing three different styles is proposed. Simulation results on two road types are presented and the fuel consumption estimation obtained with this model is discussed. The model could then be used jointly with a trajectory optimization algorithm for designing an eco-driving advance driving assistance system (ADAS) for reducing fuel consumption which is adaptive to the driving style

Elastoviscoplasticity with aging in aluminium alloys

International audienceAfter two decades of intense activity on constitutive equations and integration algorithms in the research laboratories, news methods are now available for engineers who need numerical tools for the design of critical components working at high temperature. Due to the increase of computer power, this approach (computation of the actual stress-strain state, then creep-fatigue damage modeling) should progressively replace the classical design method, based on elastic computations followed by plastic corrections, and reduce the number of prototypes, thus the duration of the development. The present paper shows an application of the method to the cylinder head of car engines

Parametric study on trajectory optimization

TAP 2016, 21st International Transport and Air Pollution Conference, LYON, FRANCE, 24-/05/2016 - 26/05/2016Reducing fuel consumption and pollutant emissions is in high demand in the transportation sector. Developments in technological fields for having a most efficient drive train are continuing parallel to usage developments. Eco-driving is one of the recent methods to maximize the efficiency of the system by direct action of the driver. It refers to a fuel economic driving behaviour, which is the result of a trajectory optimization, to minimize fuel consumption for road vehicles.In this research we have performed a parametric study on the impact of some road and trip constraints on the optimal trajectory. The algorithm is based on dynamic programming for finding the optimal vehicle operation. Given a drive cycle, or a short defined trajectory, the optimal operation is calculated under different constraints such as trip time or road grade. The results show that optimal vehicle operation vary depending on road and trip constraints

Effect of trajectory optimization parameters on energy consumption and CO2 emissions for a gasoline powered vehicle

International audienceOne of the most important research interests in the automotive sector is energy consumption and pollutant emissions reduction. Usage developments are continuing in parallel to technological evolution to maximize the efficiency of the system. One of the recent methods in usage field is eco-driving. It refers to a fuel economic driving behaviour which is the result of a trajectory optimization. In this research a parametric study on the impact of some optimization constraints on the optimal operation of a gasoline powered vehicle is presented. A vehicle model is described and the optimization algorithm based on dynamic programming is introduced. The optimization results on a defined trajectory under different road and trip constraints are discussed in this paper. These constraints include trip time and road grade, as well as the impact of state discretization. With the results, impact of these constraints on fuel consumption and CO2 emissions is presented and the trade-off between fuel consumption and trip time is discussed. The results show that optimal vehicle operation vary depending on road and trip constraints