System approach to modeling, energy management and aid in the design of Hybrid Electric Vehicles

The Hybrid Electric Vehicle is a complex system made up of several sources and the arrangement of its transmission can appeal to several components. The possibility of having different sizes of the battery compared to the combustion engine, coupled with the various possible topologies, represent as many degrees of freedom that can be exploited for its energy optimization. The first chapter of this paper exposes this diversity by presenting the different common classifications of hybrid electric vehicles. Apart from a few applications that are intended to increase the dynamic performance of the vehicle (speed and acceleration), the goal of hybridization is mainly the reduction of energy consumption and emissions of pollutants. It is the energy target that is considered in this work. To achieve this goal, optimizations are needed on different plans. For a given use, the energy performance of the hybrid vehicle depends on three strongly interdependent aspects which are i) topology (series, parallel, dual) ii) the sizing of components iii) energy management strategy to share the instantaneous power demand. To understand these different dimensions and their coupling, a systemic approach based on modelling was implemented with the Electric and Hybrid Vehicle team members. This approach has led to the development of a simulation tool, VEHLIB, that allowed to capitalizing different modelling works. This tool, which is presented in the second chapter, has then been used to serve the objectives of the energy management optimization and support the optimal design of hybrid vehicles. Under the MEGEVH network[1] , an opening towards the Energetic Macroscopic Representation (EMR, developed by the L2EP) showed the undeniable contribution of the EMR to the systematic synthesis of complex systems' control. Chapter III, dedicated to energy management, presents a State of the art of the methods developed these past ten years, and our contribution in this area. The latter was initially in the use and improvement of the rule based methods. Then two theses under my supervision proposed the optimization of the energy management in terms of fuel consumption. All these works relied on an approach using modeling, as well as experimentation on a test bench in an emulated vehicle configuration (Hardware In the Loop - HIL - simulation). Was also highlighted for the hybrid electric vehicles the problem of the relative size of the battery and electrical machines compared to the size of the combustion engine. Indeed, for a given dynamic specifications, several sizing may qualify. A help to the optimal sizing procedure has been implemented in the team and has been the subject of work described in Chapter 4. Theoretically, the general definition of hybrid vehicles is not limited to thermal - electric version which was the subject of the majority of our contributions so far. Other possibilities for association of sources (fuel cell, supercapacitors, flywheel, ...) are being considered and are the subject of recent work. We can speak in this case of multi-source vehicle. Either at topology level or at the level of the energy management and components' sizing, research is still needed to try to generalize the concepts already developed for the hybrid electric vehicle. The use of structuring formalisms like the EMR would help to understand the growing complexity and achieve the articulation between the different levels of control, local and global. On these different dimensions, perspectives and opportunities are detailed in the last chapter of this report.


  • French

Media Info

  • Media Type: Digital/other
  • Pagination: 142 p, annexes

Subject/Index Terms

Filing Info

  • Accession Number: 01725278
  • Record Type: Publication
  • Source Agency: Institut Francais des Sciences et Technologies des Transports, de l'Amenagement et des Reseaux (IFSTTAR)
  • Files: ITRD
  • Created Date: Dec 18 2019 12:12PM