Multi-Disciplinary Design Optimization of an Electric Motor Considering Thermal Constraints

Babcock, Tucker; McKeever, B. F.; Hicken, Jason E.

doi:10.2514/6.2023-4342

Cited by 3 publications

(2 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This includes thermal constraints to model demagnetization and temperature dependence of power loss, and structural considerations related to harmonics and maximum stresses. Feedback coupling of the temperature distribution is necessary to capture the proper thermal effects in the electromagnetic analysis (Babcock et al, 2023). The second major area of future work addresses the issue of solver ill-conditioning due to significant skewing of mesh elements.…”

Section: Discussionmentioning

confidence: 99%

“…This approach has been applied to efficiently optimize large systems with many degrees of freedom across various disciplines, such as topology optimization (Yan et al, 2022), aerodynamic shape optimization (Chauhan and Martins, 2021) and multidisciplinary aircraft design optimization (Sarojini et al, 2023). More recently, this approach has been applied to electric motor design; Babcock et al showed the feasibility of using adjoint-based derivative computation for motor design optimization with electro-thermal coupling (Babcock et al, 2023). However, the geometry tool was unable to provide analytical derivatives so the finite-difference method was used to capture sensitivity with respect to geometric changes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Geometric design of electric motors using adjoint-based shape optimization

Scotzniovsky,

Xiang,

Cheng

et al. 2024

Optim Eng

View full text Add to dashboard Cite

Interest in electric aircraft has increased due to developments in electric propulsion technology and concerns regarding aircraft carbon emissions. The emerging urban air mobility (UAM) industry aims to provide convenient short-range air travel using electric aircraft. An important factor in the design of electric aircraft is the modeling and design of electric motors. The many degrees of freedom in electric motor design makes it a complex design problem. To mitigate this complexity, we have developed a novel adjoint-based electric motor design methodology using finite-element electromagnetic analysis and PDE-based mesh warping with exact derivatives. This paper highlights the approach and details of the proposed method and presents results from its application to a representative motor design problem. The optimization results in a 35% decrease in motor mass and a 3% increase in efficiency in comparison to the baseline design. These results demonstrate the efficacy of an adjoint-based optimization approach with exact analytical derivatives for electric motor design.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Geometric design of electric motors using adjoint-based shape optimization

Scotzniovsky,

Xiang,

Cheng

et al. 2024

Optim Eng

View full text Add to dashboard Cite

show abstract

Geometric Design of Electric Motors Using Adjoint-based Shape Optimization

Scotzniovsky,

Xiang,

Cheng

et al. 2024

Preprint

View full text Add to dashboard Cite

Interest in electric aircraft has increased due to developments in electric propulsion technology and concerns regarding aircraft carbon emissions. The emerging urban air mobility (UAM) industry aims to provide convenient short-range air travel using electric aircraft. An important factor in the design of electric aircraft is the modeling and design of electric motors. The many degrees of freedom in electric motor design makes it a complex design problem. To mitigate this complexity, we have developed a novel adjoint-based electric motor design methodology using finite-element electromagnetic analysis and PDE-based mesh warping with exact derivatives. This paper highlights the approach and details of the proposed method and presents results from its application to a representative motor design problem. The optimization results in a 35\% decrease in motor mass and a 3\% increase in efficiency in comparison to the baseline design. These results demonstrate the efficacy of an adjoint-based optimization approach with exact analytical derivatives for electric motor design.

show abstract

Electrothermal Coupling Methodologies and Their Influence on the Optimization of Aircraft Electric Motors

Babcock,

McKeever,

Hicken

2024

AIAA Journal

View full text Add to dashboard Cite

This work presents a fully coupled electrothermal motor analysis and optimization framework, where the motor’s electromagnetic performance depends on its temperature distribution, and the temperature distribution simultaneously depends on its electromagnetic performance. Notably, we analytically compute derivatives through this nonlinear, multidisciplinary analysis using coupled adjoints, which enables the exploration of high-dimensional design spaces. We demonstrate the framework on a series of optimization problems that investigate the effect of feedback coupling and serve to highlight the framework’s utility and flexibility. Furthermore, our results indicate that modeling the motor’s electrothermal coupling is critical to accurate performance prediction. We show that designs optimized using a feedforward-coupled model are found to be either infeasible or nonoptimal under the fully coupled feedback analysis; both conditions are unacceptable for aircraft applications, in which performance is critical.

show abstract

Multi-Disciplinary Design Optimization of an Electric Motor Considering Thermal Constraints

Cited by 3 publications

References 64 publications

Geometric design of electric motors using adjoint-based shape optimization

Geometric design of electric motors using adjoint-based shape optimization

Geometric Design of Electric Motors Using Adjoint-based Shape Optimization

Electrothermal Coupling Methodologies and Their Influence on the Optimization of Aircraft Electric Motors

Contact Info

Product

Resources

About