Michael Heroth

Doctoral Researcher and Development Engineer Electric Drive ZF Group

Michael Heroth received the B.Sc. and M.Sc. degrees in mechatronics from the TU Darmstadt, Darmstadt, Germany in 2015 and 2017. He is currently working toward the Ph.D. degree in electrical engineering with the Institute of Electrical Power Engineering, TU Dresden, Dresden, Germany. From 2017 to 2020, he was an Application Engineer with ZF Friedrichshafen AG, Schweinfurt, Germany. Since 2021, he has been with the Advanced Development Department for Electrical Machines, ZF Friedrichshafen AG, Schweinfurt, Germany. His research interests include system simulations, modelling of electrical machines, and design optimization of electrical drives for automotive applications.


Full Agenda Sessions

Fully Automated Optimisation Engine for Advanced Modular Motor Platform Studies

  • In close cooperation, ZF and Altair have developed a unique environment based on Altair e-Motor Director to support the synthesis of complete e-motor platforms. From previously calculated design of experiments (DoEs) and given requirements, an attempt is made to find a platform that meets all requirements and at the same time keeps costs low by using identical parts that can be reused in the individual e-motors.
  • In principle, it would be possible to build each motor from as many identical parts as possible, which would lead to a low- cost platform, but the requirements cannot be optimally met.  
  • It would also be possible to optimise all motors only to the requirements, regardless of identical parts. That would lead to the optimum in terms of meeting the requirements but would not be a good solution in terms of costs, since all the parts for an e- motor must be specially manufactured.
  • The aim of this developed environment is to find the optimum between these two extremes by counting the number of identical parts and also weighting them depending on the costs.
  • The finally found e-motor platform now represents the trade-off in terms of meeting the requirements while at the same time increasing the number of identical parts and thus reducing costs.

 

In Partnership with Altair Official Electrification Technology Partner

Tuesday 10 May 15:30 - 16:00 Room 1

Add to calendar 05/10/2022 15:30 05/10/2022 16:00 Fully Automated Optimisation Engine for Advanced Modular Motor Platform Studies
  • In close cooperation, ZF and Altair have developed a unique environment based on Altair e-Motor Director to support the synthesis of complete e-motor platforms. From previously calculated design of experiments (DoEs) and given requirements, an attempt is made to find a platform that meets all requirements and at the same time keeps costs low by using identical parts that can be reused in the individual e-motors.
  • In principle, it would be possible to build each motor from as many identical parts as possible, which would lead to a low- cost platform, but the requirements cannot be optimally met.  
  • It would also be possible to optimise all motors only to the requirements, regardless of identical parts. That would lead to the optimum in terms of meeting the requirements but would not be a good solution in terms of costs, since all the parts for an e- motor must be specially manufactured.
  • The aim of this developed environment is to find the optimum between these two extremes by counting the number of identical parts and also weighting them depending on the costs.
  • The finally found e-motor platform now represents the trade-off in terms of meeting the requirements while at the same time increasing the number of identical parts and thus reducing costs.

 

In Partnership with Altair Official Electrification Technology Partner

CWIEME E-Mobility Stage

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