Matthias Preindl

This inventor holds 28 USPTO granted patents and 24 published patent applications, plus 2 CIPO patents, primarily in Power Conversion Technology. Top assignees: Columbia University, Tau Motors, Inc., Mcmaster University. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthias Preindl. Retrieved from https://idiyas.com/inventor/matthias-preindl

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

USPTO Granted Patents = 28 (Patent Applications = 24)

% Patents Active = 67.9

CIPO Patents = 2 (Patent Applications = 36)

Average Co-Inventor Count = 2.6

ph-index = 3

Forward Citations = 29(Granted Patents)

Company Filing History:

Longmax Corporation Ltd.

where one patent can have more than one assignee

Years Active: 2020-2026

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Areas of Expertise:

Power Converters

Battery Performance

Neural Network

Energy Storage

Motor Control

DC Fast Charger

Power Distribution

Filtering Techniques

State-of-Charge

Soft Switching

Electric Machines

Discrete-Time Models

28 patents (USPTO):Sort by Forward CitationsExplore Patents

1. D1155477 - Power inverter (2026-10-27),

2. 12744450 - Methods, systems, and devices for soft switching of power converters (2026-09-22),

3. 12710480 - Systems and Methods for Battery Performance Monitoring and Management Using Discrete-Time State-Space Overpotential Battery Models (2026-08-18),

4. D1132248 - Drive unit (2026-06-30),

5. 12665474 - Wirelessly transferring power within an electric machine with actively rectified rotor windings (2026-06-23),

6. 12651992 - Wirelessly transferring power within an electric machine having AC and DC rotor coils (2026-06-09),

7. 12620914 - Systems and methods for control of nonisolated bidirectional power converters (2026-05-05),

8. 12620903 - Systems and methods for stacked multi-level power converter implementations with linear scaling (2026-05-05),

9. 12580503 - Power distribution within an electric machine with rectified rotor windings (2026-03-17),

10. D1114734 - Power inverter (2026-02-24),

11. 12372585 - Neural-network state-of-charge and state of health estimation (2025-07-29),

12. 12372583 - Neural network State-of-Charge estimation (2025-07-29),

13. 12348161 - Motor control using piecewise affine model (2025-07-01),

14. 12301140 - System and methods for high performance filtering techniques for sensorless direct position and speed estimation (2025-05-13),

15. 12263746 - Non-isolated DC fast charger for electrified vehicles (2025-04-01),

Title: **Matthias Preindl: Innovator in Battery Technology**

Introduction

Matthias Preindl is a notable inventor based in New York, NY, who has made significant contributions to the field of battery technology. With an impressive portfolio of 18 patents, he has focused on utilizing artificial intelligence to enhance the performance and reliability of Lithium-ion batteries. His innovations showcase the intersection of engineering and artificial intelligence, paving the way for advancements in energy storage solutions.

Latest Patents

Among Matthias Preindl's latest patents are two innovative approaches for estimating the state of charge (SOC) and state of health (SOH) of Lithium-ion batteries. The first patent introduces a method that employs an artificial neural network (ANN), which incorporates both recurrent neural networks (RNN) and convolutional neural networks (CNN). This approach utilizes various battery attributes, such as voltage, current, and temperature, to provide accurate SOC and SOH estimates. The second patent focuses specifically on using an RNN to calculate SOC based on similar battery attributes, emphasizing the potential of neural networks in battery management systems.

Career Highlights

Throughout his career, Matthias has collaborated with prominent institutions and companies, including Columbia University and Tau Motors, Inc. His work in these organizations has allowed him to develop and refine his groundbreaking battery technologies. Through his research and inventions, he has contributed to making energy systems more efficient and reliable.

Collaborations

Matthias Preindl has worked alongside skilled professionals in the field, including Walter Wesley Pennington III and Matthew J. Rubin. These collaborations have enhanced the development of cutting-edge solutions in battery monitoring and management, showcasing the importance of teamwork in driving technological advancements.

Conclusion

Matthias Preindl stands out as a key innovator in battery technology, with a remarkable collection of patents that reflect his expertise in the integration of artificial intelligence and energy systems. His contributions not only advance the field of battery management but also foster a greater understanding of how technology can improve energy storage solutions for various applications. As he continues to innovate, the impact of his work will undoubtedly resonate within the industry for years to come.

Profile summary based on public USPTO records.