Ali (Farhad) Mashayekh
at Bundeswehr University Munich- Claim this Profile
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Bio
Experience
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Bundeswehr University Munich
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Germany
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Research Services
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700 & Above Employee
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Jun 2021 - Present
Research in the field of battery aging based on implementing multilevel inverters and Smart Battery Systems.
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Feb 2021 - May 2021
Li-ion battery aging based on implementing multilevel inverters for Battery Electric Vehicle
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Bosch
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Germany
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Think Tanks
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1 - 100 Employee
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May 2020 - Oct 2020
Hybride SOH-Modellierung für Batterie in the CloudObjekt-Tracking Methoden ▪ Kalman Filter ▪ Particle Filter ▪ Recursive least square method (RLS) Data fusion ▪ Neural Network ▪ Gaussian Process
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Oct 2019 - Apr 2020
• Algorithm development for a ride-sharing offer. Optimization of utilization as well as customer satisfaction under different boundary conditions.• Impedance measurements on automotive battery cells with a laboratory measuring device and an ASIC prototype at various operating points.• Experimental setup, cabling, and commissioning for the impedance measurements.• Measurement data evaluation and error analysis - research and familiarization with Gaussian process modeling and machine learning methods. Show less
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Working Student
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Apr 2019 - Oct 2019
Battery Modeling ECM Model Kalman Filter Battery Modeling ECM Model Kalman Filter
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Institute for Automotive Engineering (ika)
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Germany
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Motor Vehicle Manufacturing
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1 - 100 Employee
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Working Student
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Oct 2018 - Mar 2019
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Education
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RWTH Aachen University
Master's degree, Automotive Engineering Technology/Technician -
K. N. Toosi University of Technology
Bachelor's degree, Mechanical Engineering