期刊
INTERNATIONAL JOURNAL OF VEHICLE DESIGN
卷 39, 期 4, 页码 349-367出版社
INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJVD.2005.008467
关键词
consumption; electric motor; global; graph theory; hybrid electric vehicle; internal combustion engine; optimisation
This paper presents an optimisation method based on dynamic programming, concerning the elaboration of energy management laws for hybrid electric vehicles (HEV). The objective is to minimise fuel consumption on a-known-in-advance driving schedule based on normalised or actual conditions(offline process). An optimisation tool implementing this method has been developed, called KOALA. It allows short computation times, and is flexible as it allows us to code new architectures easily. The main outcome of KOALA is the comparison of different HEVs with regard to fuel consumption, that allows us to estimate the potential consumption gain for different HEV architectures, and to forecast the best component sizing for a given vehicle architecture. Another outcome is the possibility of deriving online management laws from the optimal offline ones given by KOALA. In this paper we focus on the operating mode and validity of the optimisation process.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据