This inventor holds 15 USPTO granted patents. Top assignees: California Institute of Technology, Akamai Technologies, Inc., Powerflex Systems, Inc.. Active years: 2010-2022.
Location History:
- La Canada, CA (2018)
- La Cañada, CA (US) (2021)
- La Canada, CA (US) (2010 - 2022)
Company Filing History:


Years Active: 2010-2022
Title: Innovations of Steven H. Low in Electric Vehicle Charging
Introduction
Steven H. Low is a prominent inventor based in La Canada, CA (US). He has made significant contributions to the field of electric vehicle (EV) charging technology. With a total of 15 patents to his name, his work focuses on optimizing the charging process for electric vehicles.
Latest Patents
One of his latest patents is titled "Systems and methods for adaptive EV charging." This invention involves an adaptive electric vehicle charging platform that includes a processor and a memory containing an adaptive EV charging application. The system is designed to collect various EV charging parameters from electric vehicle supply equipment (EVSE) and simulate control routines to optimize the charging process. Another notable patent is "Adaptive charging network using adaptive charging stations for electric vehicles." This invention enables the optimization of the electrical design of charging networks, allowing adaptive charging stations to communicate capacity information and control power distribution effectively.
Career Highlights
Steven H. Low has worked with esteemed organizations such as the California Institute of Technology and Akamai Technologies, Inc. His experience in these institutions has contributed to his expertise in the field of electric vehicle technology.
Collaborations
Some of his notable coworkers include Cheng Jin and George S. Lee. Their collaboration has likely played a role in advancing the innovative projects they have worked on together.
Conclusion
Steven H. Low's contributions to electric vehicle charging technology demonstrate his commitment to innovation in this rapidly evolving field. His patents reflect a deep understanding of the challenges and opportunities in optimizing EV charging systems.