Hello, I am an engineer/researcher in energy storage technology, with a focus on control and machine learning. My previous work was a good mix of software, system, and hardware.
Check out my resumé and portfolio below
Recent Projects
Battery SOC Estimation (Onboard)
A neural network to estimate pack state of charge (SOC) during charging, deployed on a embedded controller. Onboard vehicle testings show promising results (< 3%).
Battery Thermal Anomaly Warning
A new data-driven method to detect battery thermal anomaly at the early stage, based on shape-similarity. Robust to data loss, pack configurations and battery aging.
Data Platform for battery
We have developed a data platform for battery data monitor, analyzing and machine learning.
Data-driven Battery SOH Estimation
A high accuracy (<5%) battery state of health estimation method based on the differential voltage (DVA) and incremental capacity analysis (ICA) for electric vehicles at various temperatures.
Past Projects
artificial neural network on FPGA
Design and implemented a centeral pattern generator on FPGA !
Data Acquisition Solution
LVTRC is a LabVIEW based data acquisition system, with a complete software and hardware solution. The project is sponsored by Turbomachinery Research Consortium. Notable features includes temporal-frequency signal analysis, ML-based machinery diagnosis etc.
Energy Storage Flywheel
A energy storage flywheel with doubled energy density (100 Kwh, 140k cycles). See the flywheel being magleved !