Closed-Loop Design for Hybrid Powertrains

Abstract

The increasing interest into hybrid electric vehicles imposes the need to provide computational support for design choices during the development of these vehicles. This paper presents the use of a new methodology which allows for automatically generating topologically different hybrid powertrain concepts, and evaluating their performance. Since the energy management controller plays an important role in the performance assessment, a modular framework based on optimal control theory is used for assessing the closed-loop performance of different hybrid powertrain architectures. This paper illustrates how the concept generation methodology can be combined with optimal control in order to compare the closed-loop performance of a series and parallel hybrid powertrain.

Development capabilities for smart products

“…In Ref. [257], optimisation design of powertrain architecture for hybrid vehicles was illustrated through a combination of automatically generated concepts with optimal control selection. This demonstrated the possibility of optimal design at the architecture level taking controls performance (e.g., energy management) into consideration.…”

Optimal HEV cooling system design through a computer-aided virtual development chain

“…The first step of the search process is to decompose the system of interest in system components and introduce constraints on how to connect them. 34 In the method proposed here the system is described from a mathematical point of view using an oriented-object concept that is able to describe all the possible interactions with the different cooling system components defined. Each possible linking component is saved as a new solution variant and is represented by a graph.…”

“…On conceptual design phase, the system is simulated at a high level of abstraction. 34 Usually numerical models used to capture the behavior of high level are based on lumped-parameters, ODE, DAE, or bond-graphs. Such system models can support trade off analysis to estimate the potential of each solution and component sizing.…”