Xianke Lin, Ontario Tech University

Research

Battery Management System Electric Vehicle Hybrid Electric Vehicle Lithium Ion Battery Degradation Multiphysics/Multiscale Modeling Optimal Control Optimal Design Renewable Energy

Latest papers

Efficient Stereo Depth Estimation for Pseudo-LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder.
Sensors (Basel, Switzerland) · 2023 · senior author
Battery health evaluation using a short random segment of constant current charging.
iScience · 2022
A control strategy for cabin temperature of electric vehicle considering health ventilation for lowering virus infection.
International journal of thermal sciences = Revue generale de thermique · 2022 · senior author

All 3 publications

Latest funding

AI-based early failure detection in 3D printing for better print quality, less material waste, and shorter trial and error process
NSERC · 2020 · Principal investigator
$29,900
Degradation Analysis, Optimal Design, and Intelligent Management of Lithium Ion Batteries
NSERC · 2018 · Principal investigator
$189,000
Degradation Analysis, Optimal Design, and Intelligent Management of Lithium Ion Batteries
NSERC · 2018 · Principal investigator
$12,500

All 3 grants and awards

3 publications.

01

Efficient Stereo Depth Estimation for Pseudo-LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder.

Hossain S, Lin X

Sensors (Basel, Switzerland)2023Senior author

DOI: 10.3390/s23031650 PMID: 36772689

02

Battery health evaluation using a short random segment of constant current charging.

Deng Z, Hu X, Xie Y, Xu L, Li P, Lin X, Bian X

iScience2022

DOI: 10.1016/j.isci.2022.104260 PMID: 35521525

03

A control strategy for cabin temperature of electric vehicle considering health ventilation for lowering virus infection.

Liu Z, Xie Y, Hu X, Shi B, Lin X

International journal of thermal sciences = Revue generale de thermique2022Senior author

DOI: 10.1016/j.ijthermalsci.2021.107371 PMID: 34785972

AI-based early failure detection in 3D printing for better print quality, less material waste, and shorter trial and error process

Principal investigatorNSERC2020Alliance Grants

Principal investigators: Lin, Xianke

$29,900

Degradation Analysis, Optimal Design, and Intelligent Management of Lithium Ion Batteries

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Lin, Xianke

Keywords: Battery Management System; Electric Vehicle; Hybrid Electric Vehicle; Lithium Ion Battery Degradation; Multiphysics/Multiscale Modeling; Optimal Control; Optimal Design; Renewable Energy; Transportation Electrification

$189,000

Degradation Analysis, Optimal Design, and Intelligent Management of Lithium Ion Batteries

Principal investigatorNSERC2018Discovery Launch Supplement

Principal investigators: Lin, Xianke

$12,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Write to this professor

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Applying for

Paper to mentionMention their NSERC grant from 2020

Subject: Prospective PhD student: Battery Management System Dear Professor Lin, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Efficient Stereo Depth Estimation for Pseudo-LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder." (2023), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "AI-based early failure detection in 3D printing for better print quality, less material waste, and shorter trial and error process" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]