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SRNE ML2420 MPPT Charge Controller, 12/24 V, 20 A, 260 at 12V/520 at 24V W, -35 to 45 deg C Operating, Conversion: Less than 98% Efficiency

Part #142210

MFG #ML2420

142210_1287_SRNE_ML2420.jpg

SRNE ML2420 MPPT Charge Controller, 12/24 V, 20 A, 260 at 12V/520 at 24V W, -35 to 45 deg C Operating, Conversion: Less than 98% Efficiency

Part #142210

MFG #ML2420

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SRNE ML2420 MPPT Charge Controller, 12/24 V, 20 A, 260 at 12V/520 at 24V W, -35 to 45 deg C Operating, Conversion: Less than 98% Efficiency

Part #142210

MFG #ML2420

Item Features
  • With the advanced dual-peak or multi-peak tracking technology, when the solar panel is shadowed or part of the panel fails resulting in multiple peaks on the I-V curve, the controller is still able to accurately track the maximum power point.

  • A built-in maximum power point tracking algorithm can significantly improve the energy utilisation efficiency of photovoltaic systems, and raise the charging efficiency by 15% to 20% compared with the conventional PWM method.

  • A combination of multiple tracking algorithms enables accurate tracking of the optimum working point on the I-V curve in an extremely short time.

  • The product boasts an optimum MPPT tracking efficiency of up to 99.9%.

  • Advanced digital power supply technologies raise the circuit's energy conversion efficiency to as high as 98%.

  • Charging program options are available for different types of batteries including gel batteries, sealed batteries, open batteries, lithium batteries, etc.

  • The controller features a limited current charging mode. When the solar panel power exceeds a certain level and the charging current is larger than the rated current, the controller will automatically lower the charging power and bring the charging current to the rated level.

  • Instantaneous large current startup of capacitive loads are supported.

  • Automatic recognition of battery voltage is supported.

  • LED fault indicators and an LCD screen which can display abnormality information help users to quickly identify system faults.