Liang Yang

Title: Liang Yang: Battery-Pack Safety Estimation Through Deep Learning

Introduction

Liang Yang is an inventor based in Tianjin, China. His patent work addresses battery-pack safety, focusing on identifying consistency-related hazards among individual batteries during charging. The supplied information lists 1 patent associated with him.

Latest Patents

Yang’s listed patent, “Estimation Method for Safety State of Battery Pack Based on Deep Learning and Consistency Detection,” describes a method for assessing battery-pack safety during a charging process.

The method collects parameters from each individual battery and derives multiple groups of feature data. It organizes those features into a matrix, calculates a covariance matrix, and processes that covariance matrix through a trained fully connected layer to extract principal components. The resulting data is then passed through a trained multi-head self-attention layer and a classification layer to determine whether consistency-related safety hazards are present. The patent describes this approach as improving identification accuracy.

Career Highlights

The supplied career information connects Yang with China Automotive Technology and Research Center Co. Ltd. and CATARC New Energy Vehicle Test Center (Tianjin) Co., Ltd. His listed patent reflects work at the intersection of battery testing, data analysis, and deep-learning-based safety assessment.

Collaborations

Wenbin Wang and Fang Wang are identified as Yang’s coworkers. Their names are provided as professional associations, without further details about specific joint patent work.

Conclusion

Liang Yang’s listed invention applies deep learning and consistency detection to the assessment of battery-pack safety, with the goal of identifying potential hazards during charging.