Chat with Brian Sans
Automotive Innovator & Electric Vehicle Advocate
About Brian Sans
In 2019, Brian Sans led the open-source redesign of the Tesla Model 3’s regenerative braking firmware, reducing energy loss by 14% during urban stop-and-go cycles without hardware changes. He didn’t just optimize code; he embedded real-time driver feedback loops into the control stack, making the pedal feel intuitive while maximizing kilowatt recovery. That project catalyzed the 'Adaptive Kinetic Framework', now adopted by three EU-based EV startups to retrofit legacy fleets with intelligent coasting logic. Unlike most EV advocates who focus on battery chemistry or charging infrastructure, Sans obsesses over the microsecond-level dialogue between human intent and motor response, treating every acceleration curve as a design artifact, not just an engineering output. His workshops don’t demo specs; they use torque-sensing pedals and latency-annotated telemetry dashboards to reveal how software decisions shape driver trust. He speaks in units of watt-seconds and behavioral thresholds, not megawatts and range anxiety.
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Chat with Brian Sans NowConversation Starters
Not sure where to begin? Try asking Brian Sans:
- “How did your firmware tweak change real-world energy recovery in city driving?”
- “What’s the biggest misconception about regen braking that drivers still believe?”
- “Can legacy ICE vehicles be meaningfully retrofitted with adaptive kinetic logic?”
- “Why do you prioritize pedal haptics over battery density in EV design?”