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Journal Articles

A Repeated Commuting Driving Cycle Dataset With Application to Short-Term Vehicle Velocity Forecasting

Yuanzhi Liu, Jie Zhang
Journal: Journal of Autonomous Vehicles and Systems
Article Type: Research Papers
J. Auton. Veh. Sys. July 2021, 1(3): 031002.
Paper No: JAVS-21-1017
DOI: https://doi.org/10.1115/1.4052996
Published Online: December 2, 2021
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Topics: Artificial neural networks, Cycles, Traffic, Vehicles, Algorithms, Roads
Proceedings Papers

Short-Term Vehicle Velocity Forecasting via Cycle Segmentation Model Selection

Yuanzhi Liu, Jie Zhang
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A027, August 17–19, 2021
Paper No: DETC2021-69058
DOI: https://doi.org/10.1115/DETC2021-69058
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Topics: Cycles, Image segmentation, Vehicles
Journal Articles

Electric Vehicle Battery Thermal and Cabin Climate Management Based on Model Predictive Control

Yuanzhi Liu, Jie Zhang
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031705.
Paper No: MD-20-1279
DOI: https://doi.org/10.1115/1.4048816
Published Online: November 10, 2020
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Topics: Batteries, Energy management, Air conditioning, Temperature, Predictive control, Thermal management, Energy consumption
Proceedings Papers

A Model Predictive Control-Based Energy Management Strategy Considering Electric Vehicle Battery Thermal and Cabin Climate Control

Yuanzhi Liu, Jie Zhang
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A022, August 17–19, 2020
Paper No: DETC2020-22318
DOI: https://doi.org/10.1115/DETC2020-22318
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Topics: Air conditioning, Batteries, Climate, Electric vehicle batteries, Energy management, Thermal management, Electric vehicles, Energy consumption, Energy efficiency, Energy management systems
Proceedings Papers

Self-Adapting Intelligent Battery Thermal Management System via Artificial Neural Network Based Model Predictive Control

Yuanzhi Liu, Jie Zhang
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A026, August 18–21, 2019
Paper No: DETC2019-98205
DOI: https://doi.org/10.1115/DETC2019-98205
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Topics: Artificial neural networks, Batteries, Electric vehicles, Optimization, Predictive control, Thermal management
Proceedings Papers

Surrogate Based Multi-Objective Optimization of J-Type Battery Thermal Management System

Yuanzhi Liu, Payam Ghassemi, Souma Chowdhury, Jie Zhang
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A034, August 26–29, 2018
Paper No: DETC2018-85620
DOI: https://doi.org/10.1115/DETC2018-85620
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Topics: Batteries, Pareto optimization, Thermal management, Energy efficiency, Computational fluid dynamics, Engineering simulation, Optimization, Pressure drop, Simulation, Temperature
Journal Articles

Multidisciplinary and Multifidelity Design Optimization of Electric Vehicle Battery Thermal Management System

Xiaobang Wang, Yuanzhi Liu, Wei Sun, Xueguan Song, Jie Zhang
Journal: Journal of Mechanical Design
Article Type: Technical Briefs
J. Mech. Des. September 2018, 140(9): 094501.
Paper No: MD-17-1569
DOI: https://doi.org/10.1115/1.4040484
Published Online: June 22, 2018
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Topics: Design, Optimization, Thermal management, Batteries, Computational fluid dynamics
Proceedings Papers

An Experimental Parametric Study of Air-Based Battery Thermal Management System for Electric Vehicles

Yuanzhi Liu, Mao Li, Jie Zhang
Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A024, August 6–9, 2017
Paper No: DETC2017-67841
DOI: https://doi.org/10.1115/DETC2017-67841
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Topics: Batteries, Electric vehicles, Thermal management, Computational fluid dynamics, Design, Cooling, Flow (Dynamics), Heat flux, Experimental design, Simulation results