User Need-Oriented Concept Development of Autonomous Vehicles

Schockenhoff, Ferdinand; König, Adrian; Zähringer, Maximilian; Lienkamp, Markus

doi:10.1017/pds.2021.596

Cited by 4 publications

(2 citation statements)

References 19 publications

(16 reference statements)

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“…This is especially due to the higher auxiliary power consumption of autonomous vehicles. Furthermore, Schockenhoff [16] points out that autonomous vehicles also need an adaption of the concept development process. Therefore, we also ensure that our methodology is applicable to new versions of the process.…”

Section: Vehicle Concept Developmentmentioning

confidence: 99%

The Impact of HVAC on the Development of Autonomous and Electric Vehicle Concepts

et al. 2022

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Automation and electrification are changing vehicles and mobility. Whereas electrification is mainly changing the powertrain, automation enables the rethinking of the vehicle and its applications. The actual driving range is an important requirement for the design of automated and electric vehicles, especially if they are part of a fleet. To size the battery accordingly, not only the consumption of the powertrain has to be estimated, but also that of the auxiliary users. Heating Ventilation and Air Conditioning (HVAC) is one of the biggest auxiliary consumers. Thus, a variable HVAC model for vehicles with electric powertrain was developed to estimate the consumption depending on vehicle size and weather scenario. After integrating the model into a tool for autonomous and electric vehicle concept development, various vehicle concepts were simulated in different weather scenarios and driving cycles with the HVAC consumption considered for battery sizing. The results indicate that the battery must be resized significantly depending on the weather scenario to achieve the same driving ranges. Furthermore, the percentage of HVAC consumption is in some cases higher than that of the powertrain for urban driving cycles, due to lower average speeds. Thus, the HVAC and its energy demand should especially be considered in the development of autonomous and electric vehicles that are primarily used in cities.

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Section: Vehicle Concept Developmentmentioning

confidence: 99%

The Impact of HVAC on the Development of Autonomous and Electric Vehicle Concepts

et al. 2022

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“…Although the empirical data collection being performed is from the construction machinery industry, literature shows that the underlying challenges are not unique to such industry but are shared in other industrial sectors as well, giving promising insights for the future generalization of the findings in different industrial contexts (Machchhar and Bertoni, 2021). Schockenhoff et al (2021) offered an exhaustive assessment of conventional design approaches such as the Six sigma, Munich procedure model, design thinking among others, and presented an autonomous vehicle concept development process that addresses design challenges in a user need-oriented way. Vidner et al (2021) proposed an optimisation framework to simulate excavation rates and to optimize the design of the boring head cutter in tunnelling and mining applications.…”

Section: Introductionmentioning

confidence: 99%

Impact of Autonomous Solutions on Electric Earthmoving Design Using Machine Learning: Case Study

Abdelmassih¹,

Faddoul²,

Geara³

2022

Proc. Des. Soc.

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The increased development in automated driving systems (ADS) has opened up significant opportunities to revolutionize mobility and to set the path for technologies, such as electrification. The proposed methodology is a simulation model backed by a multi-objective optimization algorithm. This research investigates the adoption of future technologies in earthmoving application and explores its implications on the design of future machine concepts in terms of equipment size. The shift from “elephant to ants” in the machine selection, resulted in improved feasibility.

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Method for the Conceptual Design of a New Mode of Urban Delivery Vehicle

Hermann,

Brousek,

Nemecek

2023

WEVJ

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The transportation industry is undergoing a radical transformation driven by global trends and technological developments. Its main challenges include meeting the increasing demand for urban mobility and delivery services, while simultaneously addressing issues such as the requirement to reduce traffic congestion, limited parking space, and environmental pollution. This paper proposes a method for the conceptual design of innovative urban delivery vehicles meeting these challenges. The methodology is demonstrated in the proposed vehicle concept: a narrow-track leaning vehicle with the road signature of a motorscooter and the cargo capacity of a small four-wheeled vehicle aimed for low to high range and speed -mile delivery. The study presents a comprehensive methodology to optimize the vehicle parameters based on total annual costs of delivery and energy consumption. The result parameters are later used to demonstrate the benefits from a range in these vehicles, in terms of efficiency and cost-effectiveness, compared to traditional four-wheeled delivery vehicles. It compares the performance of the proposed vehicle with a four-wheeled vehicle in delivery operations, in both midmile city use and in megacity scenarios. The findings underscore that the proposed vehicle has lower total annual costs of delivery, lower energy consumption, and higher delivery efficiency than the traditional vehicle. This paper concludes that the methodology guided the design to present a narrow-track leaning vehicle concept with high potential for reducing financial costs, mitigating negative environmental impact, and improving urban mobility.

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User Need-Oriented Concept Development of Autonomous Vehicles

Cited by 4 publications

References 19 publications

The Impact of HVAC on the Development of Autonomous and Electric Vehicle Concepts

The Impact of HVAC on the Development of Autonomous and Electric Vehicle Concepts

Impact of Autonomous Solutions on Electric Earthmoving Design Using Machine Learning: Case Study

Method for the Conceptual Design of a New Mode of Urban Delivery Vehicle

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