Shoham Bhadra

Title: The Innovative Contributions of Shoham Bhadra in Battery Technology

Introduction: Shoham Bhadra, based in North Brunswick, NJ, is a distinguished inventor with a remarkable portfolio of four patents. His work primarily focuses on advancements in battery technology, specifically in determining the state of change and health of electrical cells through innovative methods.

Latest Patents: Among his latest patents, Bhadra has developed an "Apparatus and method for determining state of change (SOC) and state of health (SOH) of electrical cells." This invention encompasses systems and methods utilizing acoustic signals to predict not only the state of charge (SOC) but also the state of health (SOH) and other vital characteristics of batteries. The technology involves acquiring acoustic data at multiple states of charge and constructing a reduced acoustic data set that encapsulates this information. Key elements of the reduced dataset include time of flight (TOF) shifts and total signal amplitude, which relate directly to the states of charge. Furthermore, Bhadra's machine learning models incorporate the reduced acoustic dataset alongside non-acoustic data, such as voltage and temperature, to accurately predict characteristics of independent batteries.

Career Highlights: Throughout his career, Shoham Bhadra has made significant strides in research and development. His unique expertise and inventive skills have enabled him to contribute profoundly to the field of battery technology. His innovative spirit is underscored by his active engagement in researching state-of-charge and health assessments for electronic devices.

Collaborations: Bhadra has collaborated with notable figures in the industry, including Andrew Gaheem Hsieh and Benjamin Hertzberg. His professional journey also entails working with esteemed institutions like Princeton University and international cosmetic giant L'Oréal, where he blended scientific innovation with practical industry applications.

Conclusion: Shoham Bhadra stands out as a prominent inventor whose work has the potential to revolutionize battery technologies and performance. His advancements in using acoustic signals for battery state predictions not only enhance the understanding of battery health but also pave the way for future innovations in energy storage systems.