Development of an Overall Vehicle Sizing and Packaging Tool for Autonomous Electric Buses in the Early Concept Phase

Sethuraman, Ganesh; Schwarz, Manfred; Maxl, Stefan; Ongel, Aybike; Lienkamp, Markus; Ng, Heong Wah; Raksincharoensak, Pongsathorn

doi:10.4271/02-13-01-0002

Cited by 5 publications

(10 citation statements)

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“…The glider weight of the vehicle concept is modelled by a regression function derived from the parametric CAD model from Sethuraman et al 12 The work validated the results by comparing the glider weight of vehicle concepts generated parametric model to benchmark electric buses of length 4–12 m. The results showed that the difference in the vehicle weight for most of the concepts were minimal with a range of 4–6% deviations. Figure 5 shows the weight of the glider over the vehicle length for different vehicle lengths.…”

Section: Methodsmentioning

confidence: 76%

“…The tool uses a parametric 3D CAD model developed by the authors with CATIA for the visualisation of the vehicle concepts from previous work of the author, Sethuraman et al 12 and parametric functions developed using MATLAB for the generation of new concepts. Through a graphical user interface (GUI) in MATLAB, all parameters of components and measurements required to define the model can be changed or adjusted.…”

Section: Description Of the Modelmentioning

confidence: 99%

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Development of a parametric packaging and sizing tool for autonomous electric bus system

Sethuraman¹,

Tran²,

Ongel³

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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The demand for autonomous electric public transport is increasing globally. New vehicle models and variants are increasing the development complexity and hence the overall development time. Therefore, there is a requirement for a vehicle-packaging tool that can translate user inputs into an optimised vehicle package and can be visualised instantly. The aim of this paper is to develop a parametric tool for designing different concepts for electric autonomous buses. The scope of application is intended in the early phase of the vehicle development process to enable a fast and efficient creation of a flexible bus concept. Through a graphical user interface (GUI), the user is able to size and select all the required components for the autonomous vehicle concepts. The vehicle specification is initiated by selection of one of the three classes of vehicle, the desired number of passengers and then the bus interior’s seat arrangement design. An appropriate powertrain and chassis will then automatically be configured in the next steps. The HVAC simulation allows for the design of different components of the refrigeration circuit to ensure proper cabin temperature. For evaluating the concept, the energy consumption is analysed through simulations, and an estimated initial cost of vehicle concepts and individual systems completes the concept. A spider chart summarises all characteristics and offers an overview of the vehicle concept, providing the possibility to compare with other concepts simultaneously. The tool can create 9600 different bus concepts and provides interfaces for expansion.

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Section: Methodsmentioning

confidence: 76%

Section: Description Of the Modelmentioning

confidence: 99%

Development of a parametric packaging and sizing tool for autonomous electric bus system

Sethuraman¹,

Tran²,

Ongel³

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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show abstract

“…In addition, auxiliary consumption increases with use cases such as ridesharing, since air conditioning becomes more energy intensive owing to the higher number of door openings. Sethuraman et al (2020) and Pathak et al (2020) focus on the VCD of autonomous buses in Singapore. They developed a method for the design of autonomous bus concepts that includes the requirements of a mega city.…”

Section: Previous Research On Autonomous Vehicle Conceptsmentioning

confidence: 99%

User Need-Oriented Concept Development of Autonomous Vehicles

et al. 2021

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Vehicle concept development is a domain that has applied and detailed its process over decades. The megatrends of the 21st century of “automation” and “sharing” influence the vehicle concept in such a manner that this well-running process needs an update. The vehicle itself and the customer of the vehicle are changing and therefore the components of the vehicle and the input variables of the useroriented design of the vehicle concept must be changed as well. We present a development process for autonomous vehicle concepts to address these challenges. We are therefore analyzing the current definition of a vehicle concept and its development process. Based on a literature review of a selection of common design methodologies, we update this definition for autonomous vehicle concepts and present a development process that presents design concepts of autonomous vehicle in a user need oriented way. This includes the sharing of models since user needs could be fulfilled by more than one vehicle concept. We believe that the presented process can be a starting point for vehicle concept development of the 21st century.

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“…If the components are not positioned using dimensional chains, the category is not fulfilled ( ). [27,28] • Raabe [1,29] • • Ried [30,31] Sethuraman [32] • Stefaniak [33,34] Wiedemann [35,36] After introducing the categorization method, we briefly describe the identified authors. Angerer [13] models the longitudinal and transversal dynamic of all-wheel drive BEVs.…”

mentioning

confidence: 99%

“…Sethuraman et al [32] present a holistic parametric packaging tool, which focuses on the design of buses for urban areas and their topologies. The tool contains a library for modeling the components and enables a component sizing.…”

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confidence: 99%

Design Parameters for the Early Development Phase of Battery Electric Vehicles

Nicoletti

Mayer

Brönner

et al. 2020

WEVJ

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The derivation of a battery electric vehicle (BEV) architecture represents a challenging task for car manufacturers. For the early development of combustion engine architectures, the required design parameters can be derived from the analysis of previously-built model series. Regarding BEV architectures, the manufacturers do not yet have a reference series of vehicles on the basis of which they can derive the essential design parameters. Therefore, these parameters are mainly estimated at high cost in the early development phase. To avoid cost-intensive changes in the further course of development it is crucial to choose the right set of design parameters. For this reason, the aim of this paper is the identification of a minimum set of design parameters, derived from the current state-of-the-art of vehicle development by a structured literature comparison. We group the results according to our definition of vehicle architecture and discuss each identified parameter to explain its relevance. The sum of all parameters presented in this paper builds a minimum set of design parameters, which can be employed as a guideline for the definition of BEV architectures in the early development stage.

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Development of an Overall Vehicle Sizing and Packaging Tool for Autonomous Electric Buses in the Early Concept Phase

Cited by 5 publications

References 0 publications

Development of a parametric packaging and sizing tool for autonomous electric bus system

Development of a parametric packaging and sizing tool for autonomous electric bus system

User Need-Oriented Concept Development of Autonomous Vehicles

Design Parameters for the Early Development Phase of Battery Electric Vehicles

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