Online RNN Model for SOC Prediction in Next Generation Hybrid Car Batteries
Citation pending
CV
Steven C. Hespeler
Education
Ph.D in Industrial Engineering, New Mexico State University, 2020 (expected)
- Dissertation Title: “ONLINE STATE OF CHARGE PREDICTION IN NEXT GENERATION HYBRID VEHICLE BATTERIES USING DEEP RECURRENT NEURAL NETWORKS AND CONTINUOUS MODEL SIZE CONTROL”
- Advisor: Dr. Donovan Fuqua
M.S. in Industrial Engineering, New Mexico State University, 2012
- Project Title: “STATISTICAL ANALYSIS OF NOVEL WOOD-POLYMER COMPOSITE OF CHILE FIBERS AND HDPE”
- Advisor: Dr. Delia Valles
B.S. in Engineering, Roger Williams University, 2008
- Senior Design Project: “UTILIZING INNOVATIVE TECHNOLOGIES TO CONVERT AN EXISTING COMMERCIAL BUILDING INTO A GREEN BUILDING”
- Advisor: Dr. Linda Riley
Work experience
- Fall 2020: Research Assistant
- New Mexico State University
- Department of Civil Engineering
- Responsibilities: Conduct research investigations focused in Deep Learning techniques applied to civil engineering applications
- Spring 2018: Graduate Assistant
- New Mexico State University
- Responsibilities: 3D printing lab monitor
- Fall/Summer 2017: Graduate Assistant
- New Mexico State University
- Responsibilities: 3D printing lab monitor
Skills & Knowledge
- Machine Learning
- Data Structures
- Algorithms
- Time-series models
- Deep Learning (RNN, CNN, LSTM)
- Statistics
- ANOVA/MANOVA
- Design of Experiments (DOE)
- Hypohtesis Testing
- Operations Research
- Linear/Nonlinear programming
- Continuous-Time optimal control
- Software
- Python
- Matlab
- R
- Minitab
- Other
- LaTeX
- Micorsoft Office
- SolidWorks
- NX
- AutoCAD
Publications
ONLINE STATE OF CHARGE PREDICTION IN NEXT GENERATION VEHICLE BATTERIES USING DEEP RECURRENT NEURAL NETWORKS AND CONTINUOUS MODEL SIZE CONTROL
Hespeler, Steven. (2020). "Paper Title Number 2." Journal 1. 1(2).
Talks
An Intelligent Predictive Algorithm Utilized to Assess Influential Factors Effecting the Recharge Process of a Zinc Polyiodide Flow Battery
Talk at Universidad Autonoma de Baja California Department of Engineering, Ensendada, Baja California, MX
Implementation of Machine Learning Techniques to Predict the Prominent Factors Effecting the Life Cycle of a Flow Battery
Talk at Universidad Autonoma de Ciudad Juarez, Department of Engineering, Ciudad Juarez, MX
Teaching
Awards and Memberships
- Alpha Pi Mu- Industrial Engineering Honor Society
- Engineer in Training (E.I.T.)
- Intel Design Innovation Award page 20- 2008 WERC competition