One of the effects of the globalisation of our society is that people travel more covering longer distances, live far from their work place and consume goods from all around the world. Therefore, it is no coincidence that the transport of people and goods represents more than 25\% of the energy consumption and is one of the principal sources of pollution worldwide. Several efforts must be done to reduce the oil dependence, the energy consumption and the environmental impact of transport systems. In this perspective, the French Army (DGA) has designed and constructed the Electrical Chain Components Evaluation vehicle (ECCE). It is a mobile laboratory to evaluate under real conditions the electric components of Hybrid Electrical Vehicles (HEVs) that reduce the energy consumption and the pollution emission of conventional vehicles. ECCE permits evaluating different energy sources such as batteries, fuel cells, internal combustion engines, ultracapacitors or flywheels. The ECCE project, nowadays in a second phase is developed in joint cooperation with the FEMTO-ST laboratory of the University of Franche-Comté and two industrial partners, HELION and PANHARD General Defense. It aims to study the implementation, control and energy management of different hybrid sources. As a research developed along the second phase of the ECCE project, the principal objective of this thesis is to design, to implement and to evaluate an energy management supervision system in the ECCE HEV. This thesis proposes an original energy management strategy based on expert knowledge and type-2 fuzzy logic. The design of the fuzzy logic controller is done by using knowledge engineering. This technique allows extracting knowledge from several experts using surveys. The consideration of type-2 fuzzy logic systems enables modelling the uncertainty in the answers of the experts. This thesis presents a second application of type-2 fuzzy logic: the voltage regulation of a DC/DC power converter. The principal motivation for developing this application is that it is easier to implement in laboratory at a relatively low cost and it permits a viability evaluation of type-2 fuzzy logic before an implementation in the ECCE mobile laboratory. This is useful because one of the main challenges of this thesis is to reduce the time to experimentally validate the energy management system. This is required to respect the time schedule constraints and to reduce the costs associated to gather the partners of the project at PANHARD locations in Saint-Germain Laval.
Energy management of a hybrid electric vehicle: an approach based on type-2 fuzzy logic