A data-driven framework for forecasting transient vehicle thermal performances-Reference-Cited by-同舟云学术

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A data-driven framework for forecasting transient vehicle thermal performances

Published:2023-08-02 Issue: Volume: Page:1-15
ISSN:1040-7790
Container-title:Numerical Heat Transfer, Part B: Fundamentals
language:en
Short-container-title:Numerical Heat Transfer, Part B: Fundamentals

Author:

Zhao Chuanning¹,Kim Changsu²,Won Yoonjin¹³^ORCID

Affiliation:

1. Mechanical and Aerospace Engineering Department, University of California, Irvine, USA

2. Driving Performance Base Technology Team, Research & Development Division, Hyundai Motor Group, Seoul, Korea

3. Electrical Engineering and Computer Science Department, University of California, Irvine, USA

Publisher

Informa UK Limited

Subject

Computer Science Applications,Mechanics of Materials,Condensed Matter Physics,Modeling and Simulation,Numerical Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407790.2023.2241633

Reference43 articles.

1. Integrated-Connected Eco-Driving System for PHEVs With Co-Optimization of Vehicle Dynamics and Powertrain Operations

2. Optimization-based adaptive sliding mode control with application to vehicle dynamics control

3. High speed driving stability of road vehicles under crosswinds: an aerodynamic and vehicle dynamic parametric sensitivity analysis

4. FEM and DEM Simulations of Tire-Soil and Drill-Soil Interactions in Off-Road Conditions for Mechanical Design Validation of a Space Exploration Rover

5. Estimation of the tire slip angle under various road conditions without tire–road information for vehicle stability control

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