Regenerative Braking Skill
SkillMediaRegenerative braking system design and blending expertise
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Regenerative Braking Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/automotive-engineering/skills/regen-braking/SKILL.md and read by ahel’s review.
Purpose
Provide regenerative braking system design and blending expertise for optimal energy recovery and pedal feel in electric vehicles.
Capabilities
- Brake blending strategy design
- One-pedal driving implementation
- Regeneration limit management
- Brake-by-wire integration
- Wheel slip control during regen
- Energy recovery optimization
- Pedal feel calibration
- Coast regen tuning
Usage Guidelines
- Design blending strategy for seamless transitions
- Implement one-pedal driving for user convenience
- Manage regeneration limits based on battery state
- Ensure wheel slip control during high regen
- Optimize energy recovery for range extension
- Calibrate pedal feel for consistent response
Dependencies
- Brake system simulation tools
- dSPACE HIL
Process Integration
- VDC-003: Brake System Development
- PTE-001: Battery System Design and Validation
- PTE-002: Electric Drive Unit Development
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
regen-braking- Source
- github.com/a5c-ai/babysitter