Honda BEV thermal runaway even

Honda BEV thermal runaway even

Honda’s Marysville Auto Plant is transitioning to BEV production in 2025, with Intelligent Power Units assembled onsite. This project evaluates early detection methods for lithium-ion battery thermal runaway events in IPUs, focusing on proactive sensing strategies suitable for mass-production enviro...
Collaboration & Professional SkillsIndustry–academic collaboration (Honda)Multidisciplinary team environmentsTechnical presentations & poster designStakeholder communicationRequirements-driven engineeringEngineering & Design ToolsSolidWorks (CAD modeling)Engineering documentation & technical reportingSystems-level trade studiesManufacturing feasibility analysisRisk assessment & safety analysisInfrared pyrometers & thermal sensingMEMS thermal sensorsHydrogen fluoride (HF) gas detectionUltrasonic / acoustic sensingData acquisition (DAQ) & real-time monitoringExperimental design & lab validationCalibration & uncertainty considerationsLithium-ion battery fundamentalsThermal runaway mechanisms & mitigationIntelligent Power Units (IPUs)Battery safety & early-warning systemsBEV manufacturing environmentsSensor-based fault detection
Machine Learning for Weather Prediction

Machine Learning for Weather Prediction

This project investigates the use of machine learning models to predict daily weather variables for Columbus, Ohio, motivated by the growing need for accurate and accessible data-driven forecasting methods. Long-term historical weather observations from NOAA were cleaned and analyzed, and features s...
Pythonpandas, NumPyscikit-learnmatplotlib, seabornNOAA Climate Data APIOpenWeatherMap API