Company type | Private |
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Industry | Electric Powertrains, Battery Management Systems, Automotive, Mobility |
Predecessor | Bavertis |
Founded | August 2024 |
Founder | Niclas Lehnert, Thomas Plaschko, Leopold König, Dr. Manuel Kuder, Lukas Obkicher & Michael Hohenegger |
Headquarters | Munich, Germany |
Key people |
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Products |
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Website | pulsetrain |
Pulsetrain (originally founded as Bavertis) is a technology company that develops electric powertrains. The company combines traditional powertrain systems with a pulsing technology for batteries. Pulsetrain has offices in Munich, Germany, and Graz, Austria.
History
Pulsetrain, originally founded as Bavertis in 2022, was conceptualized through the doctoral thesis of Dr. Manuel Kuder and further developed with Niclas Lehnert, which focused on sustainable long living and efficient energy solutions. The company, headquartered in Munich, Bavaria, Germany, initially concentrated on making battery systems smarter, more modular, and durable. Pulsetrain continues with the technological approach and focuses on improving service life for battery storage systems in mobility applications.
The company has received several awards for its technology. In 2022, the company won the 1st Place in the I.E.C.T Challenge X Alpine Tech, the GreenTech Venture Award, and the VDE Bayern Award. The company also won the Münchner Businessplan Wettbewerb and Gründerszene Pitch-Battle in 2023, and was listed in the European Startup Prize TOP 50, In 2024, it took the 2nd Place at the START Summit. In November 2024, Pulsetrain won the Süddeutsche Zeitung Gipfelstürmer Award in the Mobility category for its system that extends battery lifespan.
Pulsetrain creates AI-driven and fully integrated battery management systems for the next generation of mobility.
Technology and products
Pulsetrain's second product is Cellmate, a battery management system for mobility applications. The company also provides a fully integrated powertrain technology that combines an onboard charger, inverter, and battery management system with AI software. This technology is aimed at improving energy management and performance in electric vehicles.
References
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