Carlos Carrejo

Title: Carlos Carrejo: Innovator in Battery Technology

Introduction

Carlos Carrejo is a prominent inventor based in Paris, France. He has made significant contributions to the field of battery technology, particularly through his innovative approaches to machine learning and energy storage systems. With a total of 2 patents, Carrejo's work is paving the way for advancements in real-time battery operation and control.

Latest Patents

One of Carlos Carrejo's latest patents is titled "Multi-agent shared machine learning approach for real-time battery operation mode prediction and control." This invention provides a method, system, and device for controlling energy storage devices. The method includes receiving a trained machine learning model from a centralized system, recording temporal data for an energy storage device, and performing mode predictions to optimize battery operation. The machine learning system aggregates data from multiple agents, allowing for improved performance with less computational demand.

Another notable patent is "Apparatus, circuit model, and method for battery modelling." This invention involves acquiring battery information from a sensor attached to a battery, classifying the data based on the battery cycle phase, and generating an estimation of the battery's state using a circuit model. This method enhances the accuracy of battery modeling and contributes to more efficient energy management.

Career Highlights

Carlos Carrejo has worked with esteemed organizations such as North Carolina State University and Total SA. His experience in these institutions has allowed him to collaborate with leading experts in the field and further develop his innovative ideas.

Collaborations

Throughout his career, Carlos has collaborated with notable colleagues, including Mo-Yuen Chow and Cong Sheng Huang. These partnerships have enriched his research and contributed to the success of his inventions.

Conclusion

Carlos Carrejo is a visionary inventor whose work in battery technology and machine learning is making a significant impact. His patents reflect a commitment to advancing energy storage solutions and optimizing battery performance. Through his innovative approaches, Carrejo is helping to shape the future of energy management.