GEPRC EM4218 350KV Long-Range FPV Motor – 1800W, 8S, 13–15 Inch Prop Compatible, 60–80A ESC

Overview

The GEPRC EM4218 350KV Motor is purpose-built for long-range and heavy-lift FPV drones using 13–15 inch propellers on 8S LiPo (33.6V) systems. With up to 1800W power, peak thrust of 6539g, and a reinforced M6 steel shaft, this motor delivers both the torque and durability needed for extended flight missions such as mapping, cargo drops, or endurance FPV.

It features a high-efficiency magnetic circuit, multi-strand copper windings, and NMB bearings, all within a precision-machined 7075 aluminum body. The EM4218 also includes 800mm 14AWG wires, a 30×30mm mounting pattern, and is optimized for 60A–80A ESCs.

Performance Comparison by Propeller (Tested on 8S)

Notes:

• Highest thrust recorded with HQ 15×7–3 at 6539g and 56.03A peak current

• Most efficient range between 20–50% throttle, achieving over 10 g/W

• Max RPM: 9314, Max current: 56.03A, Max temp: 53°C

Specifications

Package Includes

• 1 × GEPRC EM4218 350KV Motor

• 4 × M4×10 Round Head Screws

• 1 × M6 Anti-Slip Flange Nut

Applications

Optimized for long-range drones and aerial platforms requiring extreme thrust, thermal stability, and durability. Ideal for use with 13–15 inch props, 8S systems, and tasks such as:

• Long-range FPV
  

• Heavy-lift cinematography

• Survey/mapping UAVs

Details

Specifications: EM4218-350KV, maximum KV 350KV, max watt 1800W, peak current 60A, interphase resistance 50mΩ. Propeller size 13-15 inches, magnet type N52H, bearing type high-temp. Dimensions: 49mm x 40mm, shaft diameter d6mm (M6), shaft protruding 22.9mm, mounting holes 30mm x 30mm (4-M4). Lead length 80mm/14AWG ESC, input volts 6-10S LiPo, winding multiple strand copper, screws included M6 flange nut (1PCS). Weight: 289g (with wire), compatible with 13-15 inch long range FPV models.

Thrust data includes throttle voltage, current, speed, power, efficiency, and temperature for various types (inch) percentages. Results show increased performance at higher percentages, with HQ models performing well. The data provides insights into the motor capabilities and can be used to optimize its use.