This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Other. Active years: 2018.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018
Title: Innovations by Minglun Ren in Electric Vehicle Technology
Introduction
Minglun Ren is a notable inventor based in Hefei, China. He has made significant contributions to the field of electric vehicle technology. His innovative approach focuses on enhancing the driving experience for electric vehicle users.
Latest Patents
Minglun Ren holds a patent for a "Method and device for on-line prediction of remaining driving mileage of electric vehicle." This invention relates to a method that predicts the remaining driving mileage of an electric vehicle by acquiring in-transit data and driving environment data. The method calculates the power consumption per mileage using these data points in conjunction with a power consumption rate data model. The prediction result is designed to be more accurate, helping to prevent situations where the vehicle runs out of power unexpectedly.
Career Highlights
Throughout his career, Minglun Ren has focused on developing technologies that improve the functionality and reliability of electric vehicles. His work has been instrumental in addressing common challenges faced by electric vehicle users, particularly in terms of mileage prediction.
Collaborations
Minglun Ren has collaborated with notable colleagues such as Xiaonong Lu and Qiang Zhang. Their combined expertise has contributed to the advancement of electric vehicle technologies.
Conclusion
Minglun Ren's innovative work in electric vehicle technology exemplifies the potential for advancements in this rapidly evolving field. His patent for predicting remaining driving mileage significantly enhances user experience and safety.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile