Optimal Predictive Eco-Driving Cycles for Conventional, Electric, and Hybrid Electric Cars

International audienceIn this paper, the computation of eco-driving cycles for electric, conventional and hybrid vehicles using receding horizon and optimal control is studied. The problem is formulated as consecutive-optimization problems aiming at minimizing the vehicle energy consumption under traffic and speed constraints. The impact of the look-ahead distance and the optimization frequency on the optimal speed computation is studied to find a trade-off between the optimality and the computation time of the algorithm. For the three architectures considered, simulation results show that in urban driving conditions, a look-ahead distance of 300m to 500m leads to a sub-optimality less than 1% in the energy consumption compared to the global solution. For highway driving conditions, a look-ahead distance of 1km to 1.5km leads to a sub-optimality less than 2% compared to the global solution

Contribution au pilotage coopératif des systèmes de liaisons au sol d'une automobile par commande hybride hiérarchisée

Durant les trente dernières années, les prestations liées au comportement dynamique des véhicules de tourisme ont été particulièrement améliorées en terme de confort, d'agrément de conduite et de sécurité par l'introduction de systèmes mécatroniques tels l'ABS, la direction assistée. Plusieurs systèmes mécatroniques peuvent participer à l'amélioration de ces prestations : ce sont les organes des liaisons au sol (suspensions, freins et direction). Il convient donc de les commander coopérativement pour asservir le comportement du véhicule. Ces travaux visent ainsi à synthétiser une architecture de commande hiérarchisée en automatique répondant à ce but, en utilisant le concept de systèmes dynamiques hybrides regroupant systèmes continus et systèmes à événements discrets. La commande hybride développée sur divers exemples des liaisons aux sols utilise un superviseur basé sur une machine d'état pondérant les actions des contrôleurs CRONE de chaque système piloté.BORDEAUX1-BU Sciences-Talence (335222101) / SudocSudocFranceF

Comparaison d'algorithmes de détection assurant la sécurité de l'utilisateur, lors du déplacement d'un ouvrant piloté automobile.

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Computation of eco-driving cycles for Hybrid Electric Vehicles: Comparative analysis

International audienceIn this paper, the calculation of eco-driving cycles for a Hybrid Electric Vehicle (HEV), using Dynamic Programming (DP), is investigated from the solving method complexity viewpoint. The study is based on a comparative analysis of four optimal control problems formulated using distinct levels of modeling. Starting with three state dynamics (vehicle position and speed, battery state-of-charge) and three control variables (engine and electric machine torque, gear-box ratio), the number of state variables is reduced to two in a first simplification. The other two simplifications are based on decou-pling the optimization of the control variables into two steps: an eco-driving cycle is calculated supposing that the vehicle is propelled only by the engine. Then, assuming that the vehicle follows the eco-driving cycle calculated in the first step, an off-line energy management strategy (torque split) for an HEV is calculated to split the requested power at the wheels between the electric source and the engine. As is shown, the decreased complexity and the * Corresponding author. decoupling optimization lead to a sub-optimality in fuel economy while the computation time is noticeably reduced. Quantitative results are provided to assess these observations

Gasoline-HEV Equivalent Consumption and Pollutant Minimization Strategy

International audienceThis article proposes a strategy which works on the fuel consumption / pollutant compromise with a gasoline Hybrid Electric Vehicle (HEV). First, a pollutant-constrained optimal energy management is derived from the Pontryagin’s Minimum Principle (PMP). Using only one parameter and considering standardized pollutant emissions, this approach is validated on a high-fidelity HEV model. Then, an online approach called the Equivalent Consumption and Pollutant Minimization Strategy (ECPMS), is explained and applied on a Hybrid Hardware In the Loop (Hy-HIL) test bench. This strategy reproduces the fuel consumption / pollutant trade-off with one tuning parameter and reduces pollutant emissions for a light fuel consumption penalty

Stability of the Hydractive CRONE suspension

National audienc

Projected Gradient and Model Predictive Control : Optimal Energy and Pollutants Management for Hybrid Electric Vehicle

International audienc