2019
DOI: 10.1007/s38313-019-0126-9
|View full text |Cite
|
Sign up to set email alerts
|

Automated Design and Optimization of Transmissions for Electric Vehicles

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
1
1

Relationship

2
4

Authors

Journals

citations
Cited by 8 publications
(7 citation statements)
references
References 0 publications
0
7
0
Order By: Relevance
“…The thermal analysis can be combined with the gearbox topology design module of the ika design methodology. The topology is optimised with a genetic algorithm based on set weight factors for different characteristics [12]. The combination allows optimising a gearbox topology for the best possible thermal performance.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The thermal analysis can be combined with the gearbox topology design module of the ika design methodology. The topology is optimised with a genetic algorithm based on set weight factors for different characteristics [12]. The combination allows optimising a gearbox topology for the best possible thermal performance.…”
Section: Discussionmentioning
confidence: 99%
“…At this point, results of an advanced efficiency calculation of the system are used for the component power losses to be considered. The approach used has already been presented by Kieninger et al and Uerlich et al [12,24].…”
Section: Methodological Approach To Thermal Modellingmentioning
confidence: 99%
“…The simulations and responses involved are, however, often relatively complex and computationally non-trivial, such that the selection and tuning of effective optimization algorithms is difficult. Optimization and automated design approaches and workflows have been developed and investigated for applications as: topology optimization and generative design of structures [89,90], circuit design [91,92], Elevator Systems [93] bioelectrochemical systems [94], automotive control actuators [95] and electric vehicle transmissions [96]. These examples demonstrate the use and potential of automated Modeling Simulation and Optimization (MSO) workflows for specific applications of industrial relevance.…”
Section: Computational Physics and Uncertainty Quantificationmentioning
confidence: 99%
“…This choice provides a compact unit with the best balance of length (L), width (W) and height (H) (Figure 19). In parallel to the engineering of the drive module, a design process is being developed which aims to identify the best combination of components for the demonstrator vehicle [18]. "Best", herein, means the ideal compromise between costs, efficiency, performance, weight, volume and complexity.…”
Section: Module Assembly and Final Specificationsmentioning
confidence: 99%
“…This is because properties of fully electric drive modules result from multi-physical interaction of the powertrain components (electrical, mechanical and thermal). A design of the components with regard to the performance on vehicle level is necessary in order to find a global optimum for a specified vehicle and fixed driving requirements [17,18]. Furthermore, the control system design for the drive module is important to consider because it can increase the interaction between different subsystems but also be a remedy for unwanted interaction.…”
Section: Module Assembly and Final Specificationsmentioning
confidence: 99%