An EV trip planner for Australia
summary
An app called Tripler uses discrete optimization to minimize trip time while adding resilience constraints so plans survive inoperable chargers; it prototypes with Streamlit and pulls real data from OpenRouteService matrix and OpenChargeMap. A proof of concept handles 1,000+ km trips with 50+ chargers, the MVP runs for Australia and Aotearoa New Zealand and demonstrably produces alternate viable routes, but it hits real issues: off‑route 350 kW chargers, routing branches, API rate limits and limited user uptake. Trickle charging, elevation and better charger selection are next.
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chapters (14)
- 0:00EV trip planning intro
- 1:29EV road trip challenges
- 3:57Charger anxiety vs range anxiety
- 6:46Problem for digital solution
- 9:37Resilient trip planner with AI
- 11:29Phased approach to Tripler
- 13:57Feasibility via discrete optimization
- 17:06Validation with real-world data
- 20:14Prototyping interactive planner
- 22:41MVP demo with real trip
- 24:07Lessons learned
- 25:10Future directions
- 26:53EV infrastructure impact
- 27:57Summary
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