TY - JOUR
T1 - Vehicles for the Service Economy
T2 - 33rd CIRP Design Conference
AU - Pizzinini, Clemens
AU - Langer, Leonhard
AU - Froissart, Irénée
AU - Elsayed, Ahmed
AU - Lienkamp, Markus
N1 - Publisher Copyright:
© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
PY - 2023
Y1 - 2023
N2 - Future vehicles are connected, autonomous and shared platforms that render a multitude of services in our everyday lives. The vehicle's driving function will ultimately converge to a commodity sourced by superstructure manufactures that develop service-oriented functionality. For the early stage vehicle concept design, this new functionality imposes a new complexity for superstructure engineers. Novel service offerings translate into new functional requirements and technical components that need to be optimally sized and positioned inside the vehicle package to increase the amount of service units that can be supplied to the customer. Today, vehicle concept design optimization only focuses on powertrain components. In this paper, we introduce a novel two-step package design optimization for vehicle superstructures. First, functional requirements are derived from service units, the smallest unit of value to the vehicle-based service customer. We then develop component weight and size regression models from data retrieved from online warehouses. Components and their installation constrains are represented by scalable containers. A combined packing heuristic and parameter optimization arranges the containers within the vehicle's available installation space and created layout alternatives. We apply this procedure to a real case study based on the aCar, a light electric utility vehicle for rural sub-Saharan Africa. This is a first step to enable superstructure manufactures to design and optimize vehicle concept designs based on service capacity.
AB - Future vehicles are connected, autonomous and shared platforms that render a multitude of services in our everyday lives. The vehicle's driving function will ultimately converge to a commodity sourced by superstructure manufactures that develop service-oriented functionality. For the early stage vehicle concept design, this new functionality imposes a new complexity for superstructure engineers. Novel service offerings translate into new functional requirements and technical components that need to be optimally sized and positioned inside the vehicle package to increase the amount of service units that can be supplied to the customer. Today, vehicle concept design optimization only focuses on powertrain components. In this paper, we introduce a novel two-step package design optimization for vehicle superstructures. First, functional requirements are derived from service units, the smallest unit of value to the vehicle-based service customer. We then develop component weight and size regression models from data retrieved from online warehouses. Components and their installation constrains are represented by scalable containers. A combined packing heuristic and parameter optimization arranges the containers within the vehicle's available installation space and created layout alternatives. We apply this procedure to a real case study based on the aCar, a light electric utility vehicle for rural sub-Saharan Africa. This is a first step to enable superstructure manufactures to design and optimize vehicle concept designs based on service capacity.
KW - packing algorithm
KW - vehicle concept design
KW - vehicle-based service
UR - http://www.scopus.com/inward/record.url?scp=85167909691&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2023.01.016
DO - 10.1016/j.procir.2023.01.016
M3 - Conference article
AN - SCOPUS:85167909691
SN - 2212-8271
VL - 119
SP - 746
EP - 751
JO - Procedia CIRP
JF - Procedia CIRP
Y2 - 17 May 2023 through 19 May 2023
ER -