MGDSI-254-H – 250 W Industrial DC-DC converter
GAIA Converter has expanded its range of high power, industrial quarter-brick DC-DC converters with the addition of a 250 W output module, available with either 12 V or 15 V output.
The MGDI-254 series of high power, wide input DC-DC converters are designed for use in distributed power architecture where variable input voltage and transients are prevalent, making them ideal particularly for transportation, railways or high-end industrial applications. These modules use a high frequency fixed switching topology at 330kHz providing excellent reliability, low noise characteristics and high power density.
The standard models feature a wide input voltage range of 9-36 VDC and transients up to 40 VDC for 100 ms. The single output features an output trim range of 80% to 110% of nominal and also includes a sense function. All modules feature internal LC network filters that minimise reflected input current ripple and output voltage ripple and thus reducing the external filter components and further reducing the bill of materials and real estate. Safety features include input undervoltage lockout, output overvoltage and overcurrent protection and overtemperature protection. Additionally, a soft-start function eliminates inrush current during start-up. No optocouplers are used, ensuring high reliability. Modules are potted with a bi-component thermal conductive compound and use an insulated metallic substrate to ensure optimum power dissipation under harsh environmental conditions.
Key features of the MGDI-254:
- Wide input range 9 – 36 VDC (Transient 40 VDC for 100 ms)
- 12 V or 15 V output
- Industry standard quarter-brick package
- Power up to 250 W with efficiency above 91%
- Metallic case with galvanic isolation of 1500 VDC
- Integrated LC EMI filter
- Soft start and Input undervoltage lock-out
- Output overvoltage and overcurrent protection
- Overtemperature protection
For more information on these, the datasheet can be found here, or contact Accutronics.
As featured in Dataweek.