TY - GEN
T1 - Empiric weight model for the early phase of vehicle architecture design
AU - Felgenhauer, Matthias
AU - Nicoletti, Lorenzo
AU - Schockenhoff, Ferdinand
AU - Angerer, Christian
AU - Lienkamp, Markus
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Vehicle weight is one of the most important input parameters for Vehicle Architecture Design (VAD). Paradoxically, even though the VAD requires weight as an input, weight is also the result of the architecture definition thus leading to iterations within the weight spiral. To reduce the number of iterations, it is important to estimate the initial weight as precisely as possible. In practice, the estimation is mainly based on predecessor vehicles. This limits the applicability and accuracy of the approach and indicates the need for additional weight models. In this paper, we present a weight model adapted to the early stage of VAD. Besides applicability in this phase, we take into account combustion, hybrid and electric drivetrains. The model shows high accuracy within our evaluation. The accuracy of the results is not even inferior in comparison to a more detailed weight model that is not applicable at this early stage.
AB - Vehicle weight is one of the most important input parameters for Vehicle Architecture Design (VAD). Paradoxically, even though the VAD requires weight as an input, weight is also the result of the architecture definition thus leading to iterations within the weight spiral. To reduce the number of iterations, it is important to estimate the initial weight as precisely as possible. In practice, the estimation is mainly based on predecessor vehicles. This limits the applicability and accuracy of the approach and indicates the need for additional weight models. In this paper, we present a weight model adapted to the early stage of VAD. Besides applicability in this phase, we take into account combustion, hybrid and electric drivetrains. The model shows high accuracy within our evaluation. The accuracy of the results is not even inferior in comparison to a more detailed weight model that is not applicable at this early stage.
KW - Vehicle Architecture Design
KW - Vehicle Architectures
KW - Weight Modeling
UR - http://www.scopus.com/inward/record.url?scp=85072318813&partnerID=8YFLogxK
U2 - 10.1109/EVER.2019.8813530
DO - 10.1109/EVER.2019.8813530
M3 - Conference contribution
AN - SCOPUS:85072318813
T3 - 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019
BT - 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019
Y2 - 8 May 2019 through 10 May 2019
ER -