Machine Learning Enabled Design Automation and Multi-Objective Optimization for Electric Transportation Power Systems

Jackson, Derek; Belakaria, Syrine; Cao, Yue; Doppa, Janardhan Rao; Lu, Xiaonan

doi:10.1109/tte.2021.3113958

Title: Machine Learning Enabled Design Automation and Multi-Objective Optimization for Electric Transportation Power Systems

Journal Article · Tue Mar 01 00:00:00 EST 2022 · IEEE Transactions on Transportation Electrification

DOI:https://doi.org/10.1109/tte.2021.3113958· OSTI ID:1980596

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School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, USA
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA

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Research Organization:: North Carolina State University, Raleigh, NC (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

DOE Contract Number:: AR0001471

OSTI ID:: 1980596

Journal Information:: IEEE Transactions on Transportation Electrification, Vol. 8, Issue 1; ISSN 2372-2088

Publisher:: IEEE

Country of Publication:: United States

Language:: English

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Optimal design of a parallel Hybrid Electric Vehicle using multi-objective genetic algorithms Desai, C.; Williamson, S. S. 2009 IEEE Vehicle Power and Propulsion Conference https://doi.org/10.1109/VPPC.2009.5289754	conference	September 2009
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Taking the Human Out of the Loop: A Review of Bayesian Optimization Shahriari, Bobak; Swersky, Kevin; Wang, Ziyu Proceedings of the IEEE, Vol. 104, Issue 1 https://doi.org/10.1109/JPROC.2015.2494218	journal	January 2016
Machine Learning Enabled Fast Multi-Objective Optimization for Electrified Aviation Power System Design Jackson, Derek; Belakaria, Syrine; Cao, Yue 2020 IEEE Energy Conversion Congress and Exposition (ECCE) https://doi.org/10.1109/ECCE44975.2020.9235599	conference	October 2020
Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements Papageorgiou, Athanasios; Tarkian, Mehdi; Amadori, Kristian International Journal of Aerospace Engineering, Vol. 2018 https://doi.org/10.1155/2018/4258020	journal	January 2018
An Overview of Artificial Intelligence Applications for Power Electronics Zhao, Shuai; Blaabjerg, Frede; Wang, Huai IEEE Transactions on Power Electronics, Vol. 36, Issue 4 https://doi.org/10.1109/TPEL.2020.3024914	journal	April 2021
ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems Knowles, J. IEEE Transactions on Evolutionary Computation, Vol. 10, Issue 1 https://doi.org/10.1109/TEVC.2005.851274	journal	February 2006
Review of Optimization Strategies for System-Level Design in Hybrid Electric Vehicles Silvas, Emilia; Hofman, Theo; Murgovski, Nikolce IEEE Transactions on Vehicular Technology https://doi.org/10.1109/TVT.2016.2547897	journal	January 2016
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach Belakaria, Syrine; Deshwal, Aryan; Doppa, Janardhan Rao Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34, Issue 06 https://doi.org/10.1609/aaai.v34i06.6560	journal	April 2020
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization Belakaria, Syrine; Deshwal, Aryan; Jayakodi, Nitthilan Kannappan Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34, Issue 06 https://doi.org/10.1609/aaai.v34i06.6561	journal	April 2020
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints Garrido-Merchán, Eduardo C.; Hernández-Lobato, Daniel Neurocomputing, Vol. 361 https://doi.org/10.1016/j.neucom.2019.06.025	journal	October 2019
Adaptive Experimental Design for Optimizing Combinatorial Structures Doppa, Janardhan Rao Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence https://doi.org/10.24963/ijcai.2021/699	conference	August 2021
Multi-timescale Parametric Electrical Battery Model for Use in Dynamic Electric Vehicle Simulations Cao, Yue; Kroeze, Ryan C.; Krein, Philip T. IEEE Transactions on Transportation Electrification, Vol. 2, Issue 4 https://doi.org/10.1109/TTE.2016.2569069	journal	December 2016
Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning Zhou, Zhiyuan; Belakaria, Syrine; Deshwal, Aryan 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) https://doi.org/10.23919/DATE48585.2020.9116413	conference	March 2020
Heavy-duty UAV Electric Propulsion Architectures and Multi-timescale Multi-physics Modeling Cao, Yue; Thurlbeck, Alastair AIAA Propulsion and Energy 2019 Forum https://doi.org/10.2514/6.2019-4404	conference	August 2019
Analysis and Modeling of UAV Power System Architectures Thurlbeck, Alastair P.; Cao, Yue 2019 IEEE Transportation Electrification Conference and Expo (ITEC) https://doi.org/10.1109/ITEC.2019.8790566	conference	June 2019

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