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Proceedings Papers

A Study on Combined Lithium and Sodium-Ion Hybrid Energy Storage Systems in Battery Electric Vehicles

Orazio Foti, Saulius Pakštys, Angelo Bonfitto
Proc. ASME. IDETC-CIE2024, Volume 1: 26th International Conference on Advanced Vehicle Technologies (AVT), V001T01A009, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143419
https://doi.org/10.1115/DETC2024-143419
View Paper titled, A Study on Combined Lithium and Sodium-Ion Hybrid Energy Storage Systems in Battery Electric Vehicles
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Topics: Batteries, Electric vehicles, Energy storage, Lithium, Lithium-ion batteries, Sodium, Sodium-ion batteries
Proceedings Papers

Adaptive Agent-Based Control for Lithium-Ion Batteries in Naval Microgrids

Jarrett Peskar, Braden Priddy, Kerry Sado, Austin R. J. Downey, Kristen Booth, Jamil Khan
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A027, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143181
https://doi.org/10.1115/DETC2024-143181
View Paper titled, Adaptive Agent-Based Control for Lithium-Ion Batteries in Naval Microgrids
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Topics: Distributed power generation, Lithium-ion batteries, Microgrids, Storage, Batteries, Stress, Generators, Temperature, Lithium, Power grids
Proceedings Papers

Multiphysics-Informed Machine Learning for Battery Design and Health Monitoring

Parth Bansal, Yumeng Li
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A037, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117113
https://doi.org/10.1115/DETC2023-117113
View Paper titled, Multiphysics-Informed Machine Learning for Battery Design and Health Monitoring
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Topics: Anodes, Batteries, Design, Lithium-ion batteries, Machine learning
Proceedings Papers

Physics-Informed Neural Networks for Degradation Diagnostics of Lithium-Ion Batteries

Sina Navidi, Adam Thelen, Tingkai Li, Chao Hu
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A049, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116940
https://doi.org/10.1115/DETC2023-116940
View Paper titled, Physics-Informed Neural Networks for Degradation Diagnostics of Lithium-Ion Batteries
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Topics: Artificial neural networks, Lithium-ion batteries, Machine learning, Physics
Proceedings Papers

An LSTM-Driven Simulation Approach for SOC and SOH Estimation of a Lithium-Ion Cell

Tejas Dhanagare, Shikha Singh, Vijitashwa Pandey
Proc. ASME. IDETC-CIE2023, Volume 5: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A020, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117057
https://doi.org/10.1115/DETC2023-117057
View Paper titled, An LSTM-Driven Simulation Approach for SOC and SOH Estimation of a Lithium-Ion Cell
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Topics: Batteries, Circuits, Kalman filters, Lithium, Simulation, Design, Electric vehicles, Amperes, Artificial neural networks, Capacitors
Proceedings Papers

State of Health Estimation of Electric Vehicle Batteries Using Transformer-Based Neural Network

Yixin Zhao, Sara Behdad
Proc. ASME. IDETC-CIE2023, Volume 5: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A017, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116426
https://doi.org/10.1115/DETC2023-116426
View Paper titled, State of Health Estimation of Electric Vehicle Batteries Using Transformer-Based Neural Network
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Topics: Artificial neural networks, Electric vehicle batteries, Electric vehicles, Lithium-ion batteries, Batteries, Fault diagnosis, NASA, Time series, Vehicles
Proceedings Papers

Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications

Sara Luciani, Stefano Feraco, Mario Silvagni, Angelo Bonfitto, Nicola Amati, Andrea Tonoli
Proc. ASME. IDETC-CIE2022, Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT), V001T01A014, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89454
https://doi.org/10.1115/DETC2022-89454
View Paper titled, Assessment of State of Charge Estimation Methods Based on Neural Networks and Support Vector Machine for Lithium-Ion Batteries Used in Vehicular Applications
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Topics: Artificial intelligence, Artificial neural networks, Lithium-ion batteries, Support vector machines
Proceedings Papers

Dynamically Weighted Ensemble of Diverse Learners for Remaining Useful Life Prediction

Venkat Nemani, Adam Thelen, Chao Hu, Steve Daining
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A041, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90252
https://doi.org/10.1115/DETC2022-90252
View Paper titled, Dynamically Weighted Ensemble of Diverse Learners for Remaining Useful Life Prediction
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Topics: Lithium-ion batteries, Rolling bearings, Service life (Equipment)
Proceedings Papers

Design Recommendations for Reducing the Environmental Impact of Battery Packs

Felipe Quijano-Ortiz, Carolyn Seepersad
Proc. ASME. IDETC-CIE2022, Volume 5: 27th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A010, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89725
https://doi.org/10.1115/DETC2022-89725
View Paper titled, Design Recommendations for Reducing the Environmental Impact of Battery Packs
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Topics: Batteries, Design, Automobiles, Economics , Electric vehicle batteries, Electric vehicles, Electrification, Energy storage, Engineers, Lithium-ion batteries
Proceedings Papers

Using Machine Learning for the Classification of the Remaining Useful Cycles in Lithium-Ion Batteries

Harry Coutts, Qing Wang
Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A014, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69647
https://doi.org/10.1115/DETC2021-69647
View Paper titled, Using Machine Learning for the Classification of the Remaining Useful Cycles in Lithium-Ion Batteries
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Topics: Cycles, Lithium-ion batteries, Machine learning, Batteries, Algorithms, Chemistry, User interfaces, Economics , Lithium, Renewable energy
Proceedings Papers

Electric Vehicle Battery Simulation: How Electrode Porosity and Thickness Impact Cost and Performance

Yixin Zhao, Sara Behdad
Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A015, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71511
https://doi.org/10.1115/DETC2021-71511
View Paper titled, Electric Vehicle Battery Simulation: How Electrode Porosity and Thickness Impact Cost and Performance
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Topics: Electric vehicle batteries, Electric vehicles, Electrodes, Lithium-ion batteries, Porosity, Simulation
Proceedings Papers

Physics-Informed Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries

Adam Thelen, Yu Hui Lui, Sheng Shen, Simon Laflamme, Shan Hu, Chao Hu
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A041, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71407
https://doi.org/10.1115/DETC2021-71407
View Paper titled, Physics-Informed Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries
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Topics: Lithium-ion batteries, Machine learning, Physics
Proceedings Papers

Reliability-Based Co-Design of Lithium-Ion Batteries for Enhanced Fast Charging and Cycle Life Performances

Tonghui Cui, Pingfeng Wang
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A012, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71402
https://doi.org/10.1115/DETC2021-71402
View Paper titled, Reliability-Based Co-Design of Lithium-Ion Batteries for Enhanced Fast Charging and Cycle Life Performances
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Topics: Batteries, Cycles, Design, Lithium-ion batteries, Optimization, Reliability
Proceedings Papers

Design and Path Planning of Autonomous Solar Lawn Mower

Souhail Hazem, Mohamed Mostafa, Ehab Mohamed, Mohamed Hesham, Abdelrahman Mohamed, Eyad Lotfy, Ayman Mahmoud, Mostafa Yacoub
Proc. ASME. IDETC-CIE2021, Volume 1: 23rd International Conference on Advanced Vehicle Technologies (AVT), V001T01A016, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69996
https://doi.org/10.1115/DETC2021-69996
View Paper titled, Design and Path Planning of Autonomous Solar Lawn Mower
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Topics: Design, Path planning, Solar energy, Solar power, Robotic vehicles, Noise (Sound), Vehicles, Autonomous vehicles, Cutting, Design engineering
Proceedings Papers

Dynamic Binding of Features and Solid Modelers

Jami J. Shah, Viren Pherwani
Proc. ASME. DETC93, 19th Design Automation Conference: Volume 2 — Design Optimization; Geometric Modeling and Tolerance Analysis; Mechanism Synthesis and Analysis; Decomposition and Design Optimization, 284-292, September 19–22, 1993
Publisher: American Society of Mechanical Engineers
Paper No: DETC1993-0401
https://doi.org/10.1115/DETC1993-0401
View Paper titled, Dynamic Binding of Features and Solid Modelers
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Topics: Geometric modeling, Lithium-ion batteries
Proceedings Papers

Simulation Assisted Design of LCO Cathode Materials With High Performance Stability

Zhuoyuan Zheng, Parth Bansal, Pingfeng Wang, Yumeng Li
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A053, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22357
https://doi.org/10.1115/DETC2020-22357
View Paper titled, Simulation Assisted Design of LCO Cathode Materials With High Performance Stability
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Topics: Cobalt, Design, Lithium, Lithium-ion batteries, Simulation, Stability, Diffusion (Physics), Finite element model, Active materials, Chemical stability
Proceedings Papers

Surrogate Model Assisted Lithium-Ion Battery Co-Design for Fast Charging and Cycle Life Performances

Tonghui Cui, Zhuoyuan Zheng, Pingfeng Wang
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A020, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22433
https://doi.org/10.1115/DETC2020-22433
View Paper titled, Surrogate Model Assisted Lithium-Ion Battery Co-Design for Fast Charging and Cycle Life Performances
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Topics: Cycles, Design, Lithium-ion batteries, Batteries, Dynamics (Mechanics), Optimization, Anodes, Battery life, Density, Dynamic systems
Proceedings Papers

Design and Development of Hardware to Analyze and Categorize the Condition of Batteries With the Aim of Enabling Their Re-Use

Andrew Wilson, Qing Wang
Proc. ASME. IDETC-CIE2020, Volume 6: 25th Design for Manufacturing and the Life Cycle Conference (DFMLC), V006T06A006, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22321
https://doi.org/10.1115/DETC2020-22321
View Paper titled, Design and Development of Hardware to Analyze and Categorize the Condition of Batteries With the Aim of Enabling Their Re-Use
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Topics: Design, Hardware, Testing, Computer software, Coulombs, Cycles, Graphical user interfaces, Lithium-ion batteries, Matlab, Noise control
Proceedings Papers

Model Bias Characterization for Effective States Estimation of Lithium-Ion Batteries

Modjtaba Dahmardeh, Zhimin Xi
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A072, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97954
https://doi.org/10.1115/DETC2019-97954
View Paper titled, Model Bias Characterization for Effective States Estimation of Lithium-Ion Batteries
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Topics: Batteries, Circuits, Lithium-ion batteries
Proceedings Papers

Contactless Li-Ion Battery Voltage Detection by Using Walabot and Machine Learning

Yanan Wang, Haoyu Niu, Tiebiao Zhao, Xiaozhong Liao, Lei Dong, Yangquan Chen
Proc. ASME. IDETC-CIE2019, Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, V009T12A002, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97668
https://doi.org/10.1115/DETC2019-97668
View Paper titled, Contactless Li-Ion Battery Voltage Detection by Using Walabot and Machine Learning
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Topics: Lithium-ion batteries, Machine learning, Algorithms, Principal component analysis, Sensors