Weina Wang

Title: Weina Wang: Battery Safety and Deep-Learning Innovation.

Introduction

Weina Wang is an inventor based in Tianjin, China. Her work includes a patented method for assessing battery-pack safety using deep learning and consistency detection. Wang has 1 patent listed in the information provided.

Latest Patents

Wang’s patent, “Estimation Method for Safety State of Battery Pack Based on Deep Learning and Consistency Detection,” describes a process for identifying potential safety hazards caused by inconsistencies among individual batteries during charging.

The method collects battery parameters during a charging process and derives multiple groups of feature data. It uses these data to form a matrix and calculate a covariance matrix, which is processed by a trained fully connected layer to extract principal components. The resulting data are then analyzed by trained multi-head self-attention and classification layers to determine whether battery-consistency safety hazards are present. The disclosed approach is intended to improve identification accuracy.

Career Highlights

The information provided associates Wang with Catarc New Energy Vehicle Test Center (Tianjin) Co., Ltd. and China Automotive Information Technology (Tianjin). Her patent focuses on applying machine-learning techniques to battery-pack safety assessment.

Collaborations

Wang’s listed coworkers include Xiaole Ma and Liang Yang. Their names are provided as professional associations, without further details about specific joint projects.

Conclusion

Weina Wang’s patent applies deep learning and consistency detection to the challenge of identifying battery-pack safety risks, reflecting an innovation in battery monitoring and assessment.