Holistic approach for the design of electrical powertrains for electric and plug-in-hybrid vehicles applying the methodology MultiObjective Optimization

Abstract

Reduction of CO₂ emissions produced by road traffic is a paramount objective which the automobile industry has to resolve. An average fleet emissions target of 95g/km CO₂ has to be achieved within the European Union until the year 2020/21. In order to comply with this demanding emissions standard, electrification of conventional combustion engine dominant drive trains is inevitable. Alternatively an increase of batteryelectric- vehicles (BEV) in the OEM’s fleet can contribute significantly towards the aimed CO₂ reduction. Both strategies mentioned above – the electrification of the combustion engine dominant drive train with hybrid vehicle topologies as well as the increase of BEVs within the OEM’s fleet share – require new, holistic methods for the drive-train design to assure cost efficiency and end-customer’s vehicle requirements. Numerical development methods, which will be introduced in this paper, can be applied to support the product development in decision making by quantifying the interdependencies between the electric, electro-mechanical and electro-chemical components on vehicle system level.