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Battery Algorithm Specialist at Apple working on Battery New Product Introduction projects.Previous experience includes Controls Design Engineer at General Motors working in High Voltage battery sensing systems. Main specialization is in cell voltage sensing and on-board diagnostics, with responsibilities of developing diagnostic software and investigating issues related to cell voltages in programs such as Chevrolet Bolt, GMC Hummer EV, Cadillac Lyriq, and future products. Experience at General Motors also consist of building battery electro-thermal models for a variety of applications such as mechanical design, control system simulation, and vehicle range estimation. Masters and undergraduate experience in school focused on controls design courses with extracurriculars involving vehicle teams such as Berkeley Formula Racing (Electrical Lead) and Cal Rover (Drive and Localization Algorithm Design).Outside interests include race/performance car design, simulation racing, city road and public transport design, and distance running.
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AppleSan Mateo, Ca, Us -
Battery Algorithm SpecialistApple Dec 2022 - PresentCupertino, California, Us
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Controls Design Engineer - High Voltage Energy ManagementGeneral Motors Jan 2021 - Nov 2022Detroit, Michigan, UsDevelop and implement high voltage battery diagnostics, with a focus on cell voltage diagnostics, through the usage of MATLAB/Simulink to prototype algorithms. In addition, formulate initial calibrations, simulate diagnostic performance and investigate issues discovered after release of diagnostic software. -
Algorithm Design And Development Engineer - Autonomous Vehicle Controls DesignGeneral Motors Jul 2020 - Jan 2021Detroit, Michigan, UsGenerated, integrated, and tested source code for communication module used to collect information and display critical information to test drivers of autonomous vehicles under development. Conducted analysis of GM processes and tools to find methods of reducing memory resource usage in embedded controllers.
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Vddv Battery Plant Modeling EngineerGeneral Motors Jul 2019 - Jul 2020Detroit, Michigan, UsGenerated electro-thermal co-simulation 1D models of HV batteries for GM Ultium battery system using Saber, Simulink, and Simscape, to be used in standalone simulations, SIL models, or to run real-time in bench applications. Evaluated model performance to balance model accuracy, model resolution, and simulation speed. Coordinated with key internal stakeholders to vet and implement required features.
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Product Development InternFord Motor Company May 2018 - Aug 2018Dearborn, Michigan, UsDeveloped finite element models for measuring stresses within shrink fit parts using Abaqus CAE. Filed US Patent Application 2020/0235617 A1 with six designs used to reduce stress in shrink-fit parts. -
Product Development InternFord Motor Company May 2017 - Aug 2017Dearborn, Michigan, UsDeveloped electric machine rotor CAE analysis method for the motor core team within the electrified powertrain engineering department.
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Conceptual Design InternLockheed Martin Oct 2013 - May 2014Bethesda, Md, UsCreated models of Lockheed Martin vehicles through Catia v5. Also used computational fluid dynamics to validate proprietary projects.
Daniel Zu Education Details
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University Of California, BerkeleyMechanical Engineering -
University Of California, BerkeleyMechanical Engineering
Frequently Asked Questions about Daniel Zu
What company does Daniel Zu work for?
Daniel Zu works for Apple
What is Daniel Zu's role at the current company?
Daniel Zu's current role is Battery Algorithm Specialist at Apple.
What is Daniel Zu's email address?
Daniel Zu's email address is daniel.zu@gm.com
What schools did Daniel Zu attend?
Daniel Zu attended University Of California, Berkeley, University Of California, Berkeley.
Who are Daniel Zu's colleagues?
Daniel Zu's colleagues are Cynthia G., Tanishq More, Michael Jenaye, Rs Sangwan Sangwan, Jose Carlos, Michael Strobl, Kay Marie.
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