| A convolutional neural network for estimation of lithium-ion battery state-of-health during constant current operation J Chen, M Manivanan, J Duque, P Kollmeyer, S Panchal, O Gross, ... 2023 IEEE transportation electrification conference & expo (ITEC), 1-6, 2023 | 50 | 2023 |
| Sequence Training and Data Shuffling to Enhance the Accuracy of Recurrent Neural Network Based Battery Voltage Models J Chen, P Kollmeyer, S Panchal, Y Masoudi, AE Oliver Gross SAE Technical Paper, 2024 | 38 | 2024 |
| Experimental results of battery power capability measurement on cells with different state of health levels J Chen, P Kollmeyer, S Panchal, Y Masoudi, O Gross, A Emadi 2024 IEEE Transportation Electrification Conference and Expo (ITEC), 1-6, 2024 | 29 | 2024 |
| Techniques for measuring battery system state of power J Chen, P Kollmeyer, S Panchal, Y Masoudi US Patent App. 18/362,385, 2025 | 1 | 2025 |
| Lithium-ion Battery State-of-Health Estimation via Histogram Data, Principal Component Analysis, and Machine Learning J Chen, P Kollmeyer, F Chiang, A Emadi 2023 IEEE Transportation Electrification Conference & Expo (ITEC), 1-6, 2023 | 1 | 2023 |
| Study of High-Power and High-Energy Lithium-ion Batteries: From Parameter Analysis to Physical Modeling and Experimental Validation Q Yao, P Kollmeyer, J Chen, S Panchal, O Gross, A Emadi SAE Technical Paper, 2025 | | 2025 |
| Driving-Aware Battery Thermal Management System in Electric Vehicles: Incorporating Cell Discharge Rate, Temperature, and Aging M Alizadeh, H Wang, J Chen, A Biswas, A Emadi IEEE Transactions on Transportation Electrification, 2025 | | 2025 |
| An Incremental-Capacity Features-Based Neural-Network Method for Estimating Battery State-of-Health Under Variable Current Rates and Partial Charging Conditions Q Yao, PJ Kollmeyer, HJ Bergveld, C Hillier, K Brink, J Duque, J Chen, ... Available at SSRN 4903377, 0 | | |
Phillip J. KollmeyerMcMaster UniversityEmail yang diverifikasi di mcmaster.ca