Xiaomi YU7 GT Debuts as Official Medical Car for Racing

💡Xiaomi's expansion into professional racing provides a testing ground for their automotive AI and safety performance.
⚡ 30-Second TL;DR
What Changed
Xiaomi YU7 GT serves as the medical car for CTCC, China GT, and CEC.
Why It Matters
By integrating its vehicles into high-stakes professional racing, Xiaomi is building brand credibility and gathering real-world performance data for its automotive AI and safety systems.
What To Do Next
Monitor Xiaomi's automotive data collection strategies during these events to understand how they refine autonomous driving and safety algorithms.
Key Points
- •Xiaomi YU7 GT serves as the medical car for CTCC, China GT, and CEC.
- •The partnership covers three major national-level automotive racing events in China.
- •Xiaomi SU7 Ultra and YU7 are designated as official safety and medical vehicles.
🧠 Deep Insight
Web-grounded analysis with 16 cited sources.
🔑 Enhanced Key Takeaways
- •Xiaomi's involvement extends to a "title partnership" with China's top three automotive racing leagues (CTCC, China GT, and CEC), signifying a deeper strategic alliance beyond merely supplying vehicles.
- •The Xiaomi YU7 GT, designated as an official medical car, recently achieved a new Nürburgring Nordschleife SUV lap record of 7:22.755 on April 2, 2026, utilizing a "Track Package," surpassing the previous record by 14 seconds.
- •Xiaomi's strategy leverages racetracks as crucial platforms for technical validation and brand premiumization, with CEO Lei Jun emphasizing that refining products to racing standards deeply embeds high performance and safety into the company's development DNA.
- •Prior to the YU7 GT, the Xiaomi SU7 Ultra, also an official safety vehicle, had already established Nürburgring records in 2024 and 2025 for the "fastest four-door car" (prototype) and "fastest production electric vehicle" (production version), respectively.
- •Xiaomi has initiated an internal "1,000 Racing Licenses" program, encouraging its employees to obtain racing certifications to foster an intuitive understanding of vehicle performance through direct motorsport participation.
🛠️ Technical Deep Dive
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Xiaomi YU7 GT (Medical Car):
- Powertrain: Dual-motor, all-wheel drive system with a 288 kW (386 hp) front motor and a 450 kW (603 hp) rear motor, combining for a total output of 738 kW (990 hp / 1,004 PS).
- Acceleration (0-100 km/h): 2.92 seconds.
- Top Speed: 300 km/h (190 mph).
- Battery: 101.7 kWh ternary lithium (NMC) battery, operating on an 897V ultra-high-voltage platform.
- Range (CLTC): 705 km.
- Charging: 5.2C high-rate charging architecture, capable of adding 520 km of range in 15 minutes.
- Chassis: Xiaomi Smart Chassis 2.0 Master Edition, featuring dual-valve CDC variable dampers, sealed dual-chamber air springs, and a front double-wishbone with rear five-link independent suspension.
- Braking System: Track-grade system with Akebono six-piston calipers and carbon-ceramic brake discs (rated for temperatures up to 1,300°C), achieving a 100-0 km/h stopping distance of 32.9 meters.
- Dimensions: Mid-large SUV, 5.0 meters long, built on Xiaomi's Modena platform.
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Xiaomi SU7 Ultra (Safety Car):
- Powertrain: Three-motor all-wheel drive system, comprising two HyperEngine V8s and one HyperEngine V6s.
- Combined Power Output: 1,138 kW (1,547 PS; 1,526 hp).
- Total Torque Output: 1,770 N⋅m (1,305 lb⋅ft).
- Acceleration (0-100 km/h): 1.98 seconds.
- Top Speed: Over 350 km/h (217 mph), with a prototype reaching 359.71 km/h.
- Battery: 93.7 kWh NMC battery.
- Range (CLTC): 700 km.
- Chassis: Double wishbone front suspension and multi-link rear suspension, both equipped with electronically controlled dampers and air springs.
- Braking System: High-performance Akebono brake calipers and carbon ceramic brake discs, with a 100-0 km/h braking distance of 30.8 meters.
- Aerodynamics: Features a large fixed spoiler and an active diffuser, generating a maximum downforce of 285kg.
🔮 Future ImplicationsAI analysis grounded in cited sources
⏳ Timeline
📎 Sources (16)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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Original source: IT之家 ↗
