2 citations · 4 across the 5 of their papers we have counts for
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Equivalent-Circuit Thermal Model for Batteries with One-Shot Parameter Identification
Myisha A. Chowdhury, Qiugang Lu
Accurate state of temperature (SOT) estimation for batteries is crucial for regulating their temperature within a desired range to ensure safe operation and optimal performance. Th…
Lithium-ion Battery Capacity Prediction via Conditional Recurrent Generative Adversarial Network-based Time-Series Regeneration
Myisha A. Chowdhury, Gift Modekwe, Qiugang Lu
Accurate capacity prediction is essential for the safe and reliable operation of batteries by anticipating potential failures beforehand. The performance of state-of-the-art capaci…
Adaptive Safe Reinforcement Learning-Enabled Optimization of Battery Fast-Charging Protocols
Myisha A. Chowdhury, Saif S. S. Al-Wahaibi, Qiugang Lu
Optimizing charging protocols is critical for reducing battery charging time and decelerating battery degradation in applications such as electric vehicles. Recently, reinforcement…
A Novel Entropy-Maximizing TD3-based Reinforcement Learning for Automatic PID Tuning
Myisha A. Chowdhury, Qiugang Lu
Proportional-integral-derivative (PID) controllers have been widely used in the process industry. However, the satisfactory control performance of a PID controller depends strongly…
Stability-Preserving Automatic Tuning of PID Control with Reinforcement Learning
Ayub I. Lakhani, Myisha A. Chowdhury, Qiugang Lu
PID control has been the dominant control strategy in the process industry due to its simplicity in design and effectiveness in controlling a wide range of processes. However, trad…