New Degrees of Freedom for Dimensioning of Hybrid Powertrains by Using Predictive Energy Management

Authors

M. Nakagawa, DENSO EUROPE B. V., Weesp; K. Yano, I. Yamauchi, DENSO AUTOMOTIVE Deutschland GmbH, Wegberg / Eching; Dr.-Ing. M. Stapelbroek, Dr.-Ing. T. Hülshorst, FEV GmbH, Aachen, Dipl.-Wirt.-Ing. A. Nase, FEV Consulting GmbH, Aachen

Year

2016

Print Info

Fortschritt-Berichte VDI, Reihe 12, Nr. 799

Summary

In addition to the components, the operating strategy is significant for the determination of efficiency of hybrid vehicles. At present, operating strategies are rule-based, defined on the base of current, locally available state variables. Estimations taken in advance are used as a base for the definition of rules. Consequently only suboptimal fuel consumption savings can be reached. Hence, there is a necessity to oversize certain components to provide sufficient power. This leads to higher system costs and increased energy consumption. This paper introduces a predictive operating strategy that makes additional fuel consumption savings in the real driving mode possible and increases the driving comfort. The strategy is based on the use of a-priori knowledge about the course of the road from navigation, Car2X, Car2Cloud and vehicle sensor data.