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Proceedings Papers

Design Recommendations for Reducing the Environmental Impact of Battery Packs

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

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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

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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

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Topics: Lithium-ion batteries, Rolling bearings, Service life (Equipment)

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

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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

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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

Paper No: DETC2021-71407

DOI: https://doi.org/10.1115/DETC2021-71407

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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

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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

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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

Paper No: DETC1993-0401

DOI: https://doi.org/10.1115/DETC1993-0401

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Topics: Lithium-ion batteries, Batteries, Failure, Reliability, Electrodes, Filtration, Graphite, Lithium, Resolution (Optics), Secondary cells

NARROW

Design Recommendations for Reducing the Environmental Impact of Battery Packs

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

Dynamically Weighted Ensemble of Diverse Learners for Remaining Useful Life Prediction

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

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

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

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

Design and Path Planning of Autonomous Solar Lawn Mower

Dynamic Binding of Features and Solid Modelers

Simulation Assisted Design of LCO Cathode Materials With High Performance Stability

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

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

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

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

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

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

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

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

Lithium-Ion Laptop Battery Testing and Energy Recycling

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

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