COMPREDICT
COMPREDICT – Automotive Analytics Suite
COMPREDICT offers purely software-based solutions for OEMs and suppliers. With our data driven approach using AI and machine learning, we can exactly predict failures of mechanical and electronic components and we are able to calculate the remaining lifetime of the major components of any vehicle. Data is collected only from sensors which are already part of the system. Furthermore, our methods enable lightweight design and cost savings and they speed up the development process of automotive OEMs and suppliers. Regarding the car owner, another field of application is predictive maintenance and value rating in case of sale or purchase of a vehicle.
Folivora Energy
Our goal is to achieve sustainability and energy efficiency not at the expense of economic benefit and through high infrastructural investments, but through intelligent, data-based virtual energy system cybernetics. As a spin-off of the Technical University of Darmstadt, we have already dealt with governance issues of complex systems in various research projects over the past years. Our conclusion: Regardless of whether it is an industrial park, a housing estate, an urban grid or a balancing group – wherever energy is stored and/or exchanged and energy (money and CO2) flows are to be controlled, a central, omnipresent and intelligent decision maker is needed. For complex energy systems, there are a vast number of operational decision alternatives that are constantly changing due to altering environmental conditions. In order to find the economically or ecologically best decision out of this multitude of alternatives at any time, it is necessary to employ methods of applied mathematics.
IFKA Solutions
Spin-off : 2022
Founders: Dr.-Ing. Ye Shen, Dr.-Ing. Christopher Praetzas, Wenting Chen, Henning Hoffmann
IFKA Solutions develops digital assistants for the efficient development process and to store process knowledge in a standardized way. This reduces not only time but also costs in development and the risk of knowledge loss.
IFKA Gearbox intelligently evaluates simulation data and thus significantly reduces the complexity of gear development for the engineer. The summarized data enables easy comparison of different gearbox designs as well as optimized design of new constructions. In addition, relevant data is automatically synchronized, versioned and stored between the CAx applications used. IFKA Gearbox integrates seamlessly into the entire development process and offers interfaces adapted to customer requirements.
InnoShiftIng
Multi-speed transmissions can significantly increase the overall efficiency of electric drives compared with single-speed transmissions for the same driving performance. Some vehicle manufacturers have already recognized this potential and responded by introducing electric multispeed transmissions. However, these use shifting systems that are largely derived from conventional transmissions. InnoShiftIng is developing a shifting system explicitly for use in electric multi-gear drives, which will allow vehicle or drive manufacturers to realize significantly cheaper, more compact and more efficient electric multi-gear drives. The shifting system thus contributes significantly to the reduction of CO2 and pollutant emissions as well as the use of energy and resources in both vehicle production and use.