EV
EVFixLab
EV scooter troubleshooting & reference
Independent notes for everyday EV scooter owners.

Understand what your EV scooter is actually doing.

EVFixLab is a focused reference for issues, behaviours and specs of popular electric scooters in India. It aims to sit somewhere between official documentation, rider experience, and practical troubleshooting checklists.

View Ola S1 Pro model notes
First live model page. More will be added gradually.
🔍Try: “Ola S1 Pro sudden range drop in city traffic”
Current focus: Ola S1 Pro

Building a reliable reference around specs, observed behaviours, and common issues for Ola S1 Pro, before expanding to other models.

  • • Specs are pulled and normalised from Ola's own documentation.
  • • Page structure is designed for future troubleshooting flows.
  • • Data pipelines are in place to keep details up to date.
Open Ola S1 Pro page

What EVFixLab is trying to be

Model-focused notes

Structured pages for each scooter model with specs, known behaviours and limitations.

Symptom-first thinking

Start from what you see – range drop, warnings, noises – and work towards possible causes.

Calm, non-marketing language

No hype, no sales pitch. Just organised notes and links back to official sources where possible.

Who this is for

This project is intentionally narrow. It is not a news site or a general auto portal. It is for people who already have, or are seriously considering, an EV scooter and want quiet, structured clarity.

  • Riders who want to understand their scooter better.
  • Friends/family who get asked: “Is this normal for an EV?”
  • Independent mechanics exploring EV scooters.

Not the right place for:

  • • Viral EV news or rumours.
  • • Generic launch coverage or promo content.
  • • Full-service manuals or DIY repair instructions.

The intent is to complement official documentation, not replace it, and to point back to it wherever possible.

What will appear here over time

  • Symptom-based troubleshooting flows (decision trees).
  • Error code reference with likely causes and safety notes.
  • Charging and range snapshots from different usage patterns.

The idea is to let the site grow slowly but consistently as data pipelines stabilise, rather than trying to cover every brand and model at once.