Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Stefan Erschen"'
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 2, Pp 512-530 (2024)
The battery thermal management of electric vehicles can be improved using neural networks predicting quantile sequences of the battery temperature. This work extends a method for the development of Quantile Convolutional and Quantile Recurrent Neural
Externí odkaz:
https://doaj.org/article/19e30b28d0ad4efb9b5d89f5f11b944d
Publikováno v:
Transportation Engineering, Vol 10, Iss , Pp 100150- (2022)
An improvement in energy efficiency of Battery Thermal Management Systems (BTMS) can increase range and reduce well-to-wheel emissions of Battery Electric Vehicles (BEV). In this work, the potential of a predictive BTMS using Quantile Convolutional N
Externí odkaz:
https://doaj.org/article/a3df35aabac3412abe2ed48285f5131d
Autor:
Wei Chen, Zhiguang Cao, Le Zhang, Felix Klanner, Akshay Rao, Yaoxin Wu, Hongliang Guo, Stefan Erschen
This paper focuses on a specific stochastic shortest path (SSP) problem, namely the punctuality problem. It aims to determine a path that maximizes the probability of arriving at the destination before a specified deadline. The popular solution to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::003e3758f28844ddc4191fba455f99b5
https://hdl.handle.net/10356/144359
https://hdl.handle.net/10356/144359
Publikováno v:
ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg. 4
In the early development phase of complex technical systems, uncertainties caused by unknown design restrictions must be considered. In order to avoid premature design decisions, sets of good designs, i.e., designs which satisfy all design goals, are
Publikováno v:
PAMM. 15:565-566
The complexity of technical products increases significantly, due to an increasing number of interacting design variables of many components and subsystems. At the same time, the need for separated development processes is increasing due to specializ