Research
Battery Testing and Data Creation under Hot and Humid Climate
To verify battery's performance and longevity, chamber testing is required. We have done chamber testing under various temperature and humidity ranges. The battery is cycled continuously and the battery states are monitored and stored to develop mathematical models.
Accuracy-boosted Virtual Sensor for Temperature Estimation
A Deep learning based framework that can enhance the richness of obtained temperature information and prediction accuracy with limited sensor data.
Data-Centric Approach to Forward Monitoring of Temperatures
Data-Centric Approach to Forward Monitoring of Temperatures
This algorithm enables real-time temperature reconstruction from sparse sensor data, facilitating early detection of thermal fault issues in batteries.
Self-adaptive battery Temperature Distribution Model
Data-Centric Approach to Forward Monitoring of Temperatures
An online self-adaptation mechanism based temperature estiamtion model to adjust to changing operational conditions without the need for retraining.
Probabilistic Remaining Useful Life Prediction for Li-ion batteries
A mahematical model that looks at a battery’s degradation history in a T-shaped pattern. This work incorporated several Machine Learning techniques that help it learn better and work with different batteries.
Health-Informed Economic Operation of Li-Ion Batteries
A dynamic framework for offering the optimal feasible operation space. The improved lifespan is achieved if the battery is confined within such evolving feasible domains throughout its service time.
Probabilistic Battery Life Estimation under Right-censored Data
A Probablisitc model for estiamting battery's remaining useful life. This model is specifically developed for the cases suffering from limited data availability.
Optimal Dispatch for Grid-Scale Batteries under Partial Cycles
A model predictive control (MPC)-based framework for optimal disaptch of grid-scale batteries. This frameowrk considers stress due to both depth of discharge as well as temperature under partial charge-discharge cycles.
Dendrite Growth Control in Lithium-ion Batteries
Dendrite Growth Control in Lithium-ion Batteries
A battery control model that establishes the coupled relationship among the dendrite growth rate, battery power dispatch, and temperature. The resulting model can be used for regulation of dendrite growth.