Uploaded May 2026 | Updated September 2026, 2 weeks ago

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For years, one of the biggest constraints in electric motor development has been the inability to measure temperatures precisely where it matters most - deep inside the rotor and stator. Manufacturers had to build in large safety margins, oversize cooling systems, or use more heavy rare earth elements (HREE) to safeguard performance.

TempAI by ZF changes that.
Using a self learning, physics based temperature model, TempAI delivers over 15% more accurate internal temperature prediction - all without additional sensors or hardware.

The result?
🚀 1. Higher Motor Efficiency & More Power

TempAI enables precise thermal utilization right up to safe operating limits.

This results in:
✔ Up to 6% more peak power
✔ Verified efficiency gains in WLTP
✔ 6–18% lower energy consumption during dynamic driving

🔋 2. Increased Range Through Smarter Heat Management
Smarter temperature prediction means energy isn’t wasted on excessive cooling or conservative operating strategies.

Drivers benefit from:
✔ More consistent performance
✔ Longer real world range

🌍 3. Significant Savings on Heavy Rare Earth Elements (HREE)
Because TempAI improves thermal design and reduces the need for high temperature magnetic overengineering, it enables meaningful reduction in HREE usage, especially dysprosium (Dy) and terbium (Tb).

This is a major win:
✔ Lower material costs
✔ Mitigation of geopolitical supplychain risk
✔ Reduced environmental impact across the EV value chain

🛠️ 4. Faster Development Cycles
TempAI also accelerates engineering:
✔ Thermal development time drops from months to days
✔ AI driven modeling replaces costly, time consuming physical testing

ℹ️ Why This Matters?
As OEMs strive to balance efficiency, performance, sustainability, and cost, TempAI offers a rare trifecta:
✔ More motor power and range
✔ Less reliance on critical materials
✔ Faster time to market

How’s that for a temperature check?

👉 Read more: press.zf.com/press/en/releases/release_89025.html

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