global electric vehicle challenge -凯发k8网页登录

the global electric vehicle challenge® (gevc) is the newest international university competition organized by global eee that raises the bar in terms of technology, innovation and engineering skills. student teams will design, build, test and race high performance formula-style electric racecars.

the competition spans approximately 17 months and is comprised of the following two stages:

stage 1: design, analysis, simulation and virtual race

stage 2: vehicle construction, testing and racing on an exciting grand prix circuit

judging will be conducted for each stage separately and awards granted accordingly. teams may participate in one of the two stages or both.

complimentary software

mathworks provides complimentary software for this competition. if your team is participating in this competition and needs software, fill out the software request form.

the period to request software has closed.

student tutorials and videos

learn how to use matlab and simulink to design algorithms, create simulations, deploy code, and speed up software development for your projects.

competition resources

videos

blog posts

file exchange

video tutorials for your team

interactive online tutorials

learn by doing! our two-hour online courses provide a hands-on learning environment where you will interact with a web-based version of matlab and receive instant and contextual feedback.

physical modeling video tutorials

get started modeling, simulating, and analyzing automotive systems with these free training materials.

code generation video tutorials

learn how to convert matlab functions and simulink models to c/c code.

learn to code with matlab

learn to code is an online, interactive one-hour tutorial that teaches the basics of programming using matlab for ages 12 .

making vehicles and robots see

get started with practical approaches to design perception algorithms using these free training materials.

mobile robotics training videos

learn to design and test autonomous robot algorithms using matlab and simulink with these free training materials.

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