Overview: How do I conduct my research?
- Study: Signature behaviors of various degradation mechanisms
- Identify a target: One particular degradation
- Determination: Detection approach using electrical parameters
- Development: Health-aware charging strategy
- Outcome: Mitigation of targeted degradation mechanism
What all instruments do I use presently?
- Battery testing system: A Programmable source and load to cycler the battery with desired current profile
- Climate chamber: To maintain a controlled battery cycling environment: Humidity and temperature
- Electrochemical impedance Spectroscopy: To characterize the battery
- Different chemistries of lithium-ion batteries: LFP, NMC, NCA, LCO, and LTO
Lithium plating-aware charging strategy
- Signature impact of plating on battery impedance profile is studied
- Lithium plating onset voltage is identified using impedance-based detection
- A MSCC charging profile is developed with optimized step currents through Taguchi method
- Step transition thresholds are made function of operating conditions with plating onset voltage tracking
- This MSCC profile modifies itself and suppresses the occurrence of lithium plating in LIBs
Published in: Journal of Energy Storage
Lithium-ion battery electrothermal model
- A novel 3-state lumped thermal model is developed
- Variation of battery internal thermal resistance is studied
- Axial heat transfer is integrated along with radial heat transfer
- Tab temperature serves as the third state along with core and surface temperatures
- In high current applications, developed model enhances accuracy of core temperature prediction by 14%
Published in: IEEE Transactions on Consumer Electronics
Hybrid energy storage system (HESS) for EVs
- Standalone battery driven vehicle owners experience: Range anxiety and shorter battery lifespan
- Supercapacitors for HESS application offer high initial cost and low energy density
- In this research, a energy-specific LIB (NMC) is hybridized with a power-specific LIB (LTO), following semi-active configuration
- This proposed HESS demonstrates a 21.25% and 15.94% reduction in electrical and thermal stresses, respectively
- We have achieved 54.46% lifespan extension of NMC battery under standard electric vehicle driving profile
Published in: IEEE Transactions on Industry Applications
Lightweight online battery SOH estimation
- Existing online SOH estimation methods: Highly data-intensive or demand full cycling data
- As SOH decreases, charging V-t plot shifts upward, reaching upper voltage faster
- The developed framework needs only partial charging data and it is lightweight
- It follows a feature extraction approach: 'Slope and Time,' reducing high dimensional input space
- A support vector machine regression model is developed to map feature and target sets
- The model has shown accuracy of <1% with latency < 0.1ms
Published in: 10th IEEE IPEC-2026 ECCE Conference
