Team: Alex & Felix | Duration: One week (Nov 3–13, 2025)
Organizers: Consid AB × Vattenfall AB | Participants: 230+ teams
Develop an AI strategy to optimize electric vehicle charging across urban networks.
Objectives:
- Maximize grid efficiency and renewable energy usage
- Maintain customer satisfaction (minimize wait times, range anxiety)
- Minimize costs (energy pricing, congestion)
- Prioritize green charging (solar/wind availability)
Constraints: Dynamic demand, limited capacity, real-time weather, time-varying pricing
1. State-of-Charge (SoC) Management
- Emergency: <35% → immediate charging
- Preventive: <65% → opportunistic charging
- Persona-based targets: 87–97% (varies by customer type & charger speed)
2. Smart Station Selection
green_factor = base + solar_bonus + wind_boost - cloud_penalty
if congestion > 90% and soc > emergency:
skip_station() # Avoid queues3. Customer Persona Modeling
- Eco-conscious: +3% target for green stations
- Cost-sensitive: -2% target to save money
- Stress-averse: -2% to reduce range anxiety
Weather + time-of-day → green factor (0.0–1.0)
- Solar peak (10am–3pm): +0.10
- Wind strength: +0.25×wind
- Cloud cover: -0.20×clouds
| Scenario | Fast (≥150kW) | Slow (<150kW) |
|---|---|---|
| First charge | 93% | 90% |
| Regular | 90% | 87% |
| Emergency | 96% | 93% |
- Track charging history per customer
- Estimate consumption rate (exponential moving average)
- Cooldown period to prevent over-charging
Final State Distribution:
Home: 487 | Charging: 156 | Moving: 98 | Waiting: 23
Average final SoC: 84.7%
Customers charged: 612/650 (94.2%)
Python | RESTful API | Event-driven tick simulation
Core logic:
- Parse game state → extract customer positions/SoC
- Score stations → green factor × availability × speed
- Generate recommendations → customer→station→target SoC
- Submit → local validation → cloud competition
This addresses:
- Smart city EV infrastructure planning
- Grid stability with renewable energy
- Fleet logistics for electric vehicles
Considition 2025: Annual AI hackathon by Consid + Vattenfall
Focus: Sustainable energy & smart cities
Format: One-week practice + final night live leaderboard
TL;DR: Built a reactive AI system that routes EVs to optimal charging stations based on battery level, customer persona, green energy availability, and congestion. Achieved 94% customer coverage with balanced cost/sustainability trade-offs.