Development of a Control Strategy for Complex Light-Duty Diesel-Hybrid Powertrains Politecnico di Torino

Format:

Conference/Event

Author/Creator:

Millo, Millo, author.

Contributor:

Rolando, Luciano

Servetto, Emanuele

Conference Name:

10th International Conference on Engines & Vehicles (2011-09-11 : Naples, Italy)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2011

Summary:

Hybrid Electric Vehicles (HEVs) represent a powerful technologyto save fuel and reduce CO₂ emissions, through the synergic use ofa conventional internal combustion engine and one or more electricmachines. However their performance strongly depends on the controlstrategy that shares the power demand among the engine and theelectric motors at each time instant, with the objective ofminimizing a pre-defined cost function over an entire drivingcycle, and satisfying, at the same time, any additionalconstraints.The aim of this work is therefore the definition of amethodology to develop, through numerical simulation, a sub-optimalhybrid powertrain controller: starting from the problem definition,the ideal performance for a case study hybrid architecture wasanalyzed through a global optimization algorithm in order to pointout information which can be used to define new control laws.Coupling this information with an approach based on theinstantaneous minimization of a cost function, a sub-optimal energymanagement system was then developed trying to merge the strengthof global optimization algorithm with the low computationalrequirements of heuristic strategies.Finally, the powertrain controller previously developed wasimplemented in a detailed vehicle model and tested throughnumerical simulations over different driving cycles in order tocompare its performance with the upper bound set by the resultsachieved by the global optimization algorithm

Notes:

Vendor supplied data

Publisher Number:

2011-24-0076

Access Restriction:

Restricted for use by site license