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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
Paper No: DETC2022-89725
DOI: 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

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
Paper No: DETC2022-89454
DOI: 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
Paper No: DETC2022-90252
DOI: 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

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
Paper No: DETC2021-71407
DOI: 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
Paper No: DETC2021-71402
DOI: 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
Paper No: DETC2021-69996
DOI: 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

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
Paper No: DETC2021-69647
DOI: 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
Paper No: DETC2021-71511
DOI: 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

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
Paper No: DETC1993-0401
DOI: 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
Paper No: DETC2020-22357
DOI: 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
Paper No: DETC2020-22433
DOI: 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
Paper No: DETC2020-22321
DOI: 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

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
Paper No: DETC2019-97668
DOI: 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
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
Paper No: DETC2019-97954
DOI: 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

Online Estimation of Lithium-Ion Battery Capacity Using Deep Convolutional Neural Networks

Sheng Shen, M. K. Sadoughi, Xiangyi Chen, Mingyi Hong, Chao Hu
Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A058, August 26–29, 2018
Paper No: DETC2018-86347
DOI: https://doi.org/10.1115/DETC2018-86347
View Paper titled, Online Estimation of Lithium-Ion Battery Capacity Using Deep Convolutional Neural Networks
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Topics: Artificial neural networks, Lithium-ion batteries, Batteries, Cycles, Failure, Lithium, Machine learning, Machinery, Reliability, Resilience
Proceedings Papers

Physics-Based State of Health Estimation of Lithium-Ion Battery Using Sequential Experimental Design

Yu Hui Lui, Meng Li, Mohammadkazem Sadoughi, Chao Hu, Shan Hu
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A061, August 26–29, 2018
Paper No: DETC2018-86358
DOI: https://doi.org/10.1115/DETC2018-86358
View Paper titled, Physics-Based State of Health Estimation of Lithium-Ion Battery Using Sequential Experimental Design
Click here to open pdf in another window PDF for Physics-Based State of Health Estimation of Lithium-Ion Battery Using Sequential Experimental Design
Topics: Experimental design, Lithium-ion batteries, Physics, Design, Lithium, Simulation experiments, Active materials, Batteries, Electrodes, Engineering simulation
Proceedings Papers

Design of a Test Platform for the Determination of Lithium-Ion Batteries State-of-Health

Jules-Adrien Capitaine, Qing Wang
Proc. ASME. IDETC-CIE2018, Volume 4: 23rd Design for Manufacturing and the Life Cycle Conference; 12th International Conference on Micro- and Nanosystems, V004T05A013, August 26–29, 2018
Paper No: DETC2018-85829
DOI: https://doi.org/10.1115/DETC2018-85829
View Paper titled, Design of a Test Platform for the Determination of Lithium-Ion Batteries State-of-Health
Click here to open pdf in another window PDF for Design of a Test Platform for the Determination of Lithium-Ion Batteries State-of-Health
Topics: Design, Lithium-ion batteries, Batteries, Circuits, Computer software, Coulombs, Cycles, Energy storage, Performance, Testing
Proceedings Papers

An Ensemble Bias-Correction Method With Adaptive Weights for Dynamic Modeling of Lithium-Ion Batteries

Yifei Li, Mohammad Kazem Sadoughi, Zhixiong Li, Chao Hu
Proc. ASME. IDETC-CIE2017, Volume 1: 37th Computers and Information in Engineering Conference, V001T02A088, August 6–9, 2017
Paper No: DETC2017-68416
DOI: https://doi.org/10.1115/DETC2017-68416
View Paper titled, An Ensemble Bias-Correction Method With Adaptive Weights for Dynamic Modeling of Lithium-Ion Batteries
Click here to open pdf in another window PDF for An Ensemble Bias-Correction Method With Adaptive Weights for Dynamic Modeling of Lithium-Ion Batteries
Topics: Dynamic modeling, Lithium-ion batteries, Batteries, Modeling, Circuits, Errors, Relaxation (Physics)
Proceedings Papers

Lithium-Ion Laptop Battery Testing and Energy Recycling

Jiexin Zhou, Qing Wang, Jie Wang
Proc. ASME. IDETC-CIE2017, Volume 4: 22nd Design for Manufacturing and the Life Cycle Conference; 11th International Conference on Micro- and Nanosystems, V004T05A041, August 6–9, 2017
Paper No: DETC2017-67803
DOI: https://doi.org/10.1115/DETC2017-67803
View Paper titled, Lithium-Ion Laptop Battery Testing and Energy Recycling
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Topics: Batteries, Laptop computers, Lithium, Recycling, Testing, Control equipment, Cycles, Lithium-ion batteries, Matlab, Resistors
Proceedings Papers

On-Board Analysis of Degradation Mechanisms of Lithium-Ion Battery Using Differential Voltage Analysis

Chao Hu, Mingyi Hong, Yifei Li, Ha-Lim Jeong
Proc. ASME. IDETC-CIE2016, Volume 2A: 42nd Design Automation Conference, V02AT03A044, August 21–24, 2016
Paper No: DETC2016-59389
DOI: https://doi.org/10.1115/DETC2016-59389
View Paper titled, On-Board Analysis of Degradation Mechanisms of Lithium-Ion Battery Using Differential Voltage Analysis
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Topics: Lithium-ion batteries, Batteries, Failure, Reliability, Electrodes, Filtration, Graphite, Lithium, Resolution (Optics), Secondary cells