Y&H 45A MPPT Solar Charge Controller 12V 24V 36V 48V Auto Max PV 120V Input,Bluetooth WiFi RS485 for LiFePO4/Lithium/Lead-Acid Batteries

Y&H 45A MPPT Solar Charge Controller 12V 24V 36V 48V Auto Max PV 120V Input,Bluetooth WiFi RS485 for LiFePO4/Lithium/Lead-Acid Batteries

Brand: Y&H
SKU: HMS-3KW-24V-M40A
56.99 EUR In stock Buy at Merchant

High-Efficiency Smart MPPT Charging: Delivers a maximum charging current of 45A with over 99% MPPT tracking efficiency and 92%–99% conversion efficiency. Supports solar arrays up to 540W at 12V, 1080W at 24V, 1620W at 36V, or 2160W at 48V.PV array open-circuit voltage below 120V DC. FLEXIBLE BATTERY SETTINGS:This 45A controller 12V, 24V, 36V,48V battery systems。Choose profiles for sealed/AGM, GEL, flooded, LiFePO4 or lithium-ion batteries, or enter custom charging values in the Noi Solar app. BLUETOOTH AND WIFI SMART MONITORING – Use the Noi Solar App on Android or iOS for local Bluetooth BLE 5.0 connection or 2.4GHz WiFi remote monitoring. View solar input, battery status, charging stage, load data, operation logs, statistics, alarms, and firmware information. FLEXIBLE 30A DC LOAD CONTROL – Features Always On, Manual, Battery Voltage, Light Control, Light Timer, Light Repeat, Cycle, and Time Segment load modes. Includes a controllable 5V/2A USB output. The load terminals are for matching-voltage DC loads only—not inverters, AC appliances, or battery chargers. VERSATILE OFF-GRID SOLAR APPLICATIONS – Designed for residential and small off-grid solar power systems,RVs. Suitable for solar battery charging, DC lighting systems, USB-powered devices, remote monitoring, and other matching-voltage DC loads. Y&H MS4845 Smart MPPT Solar Charge Controller: The MS4845 is a 45A MPPT solar charge controller designed for 12V, 24V, 36V, and 48V off-grid DC solar systems. It combines high-efficiency solar charging with Bluetooth, 2.4GHz WiFi, RS485 communication, programmable DC load control, and USB power output. Features: 1. High-Efficiency MPPT Charging 2. 12V,24V,36V,48V Multi-Voltage Support 3. Lead-Acid and Lithium Battery Profiles 4. Bluetooth and WiFi App Monitoring 5. Programmable DC Load Management 6. RS485 and USB Connectivity 7. Clear LED Status Indicators Technical Specifications: Parameter Specification Model MS4845 Product Type MPPT Solar Charge Controller Nominal System Voltage 12V / 24V / 36V / 48V Battery Voltage Range 10.5V-57.6V DC Maximum Charging Current 45A Maximum DC Load Current 30A Maximum PV Open-Circuit Voltage <120V DC Maximum PV Power at 12V 540W Maximum PV Power at 24V 1080W Maximum PV Power at 36V 1620W Maximum PV Power at 48V 2160W MPPT Tracking Efficiency >99% Conversion Efficiency 92%-99% No-Load Power Consumption 0.7W-1.2W Supported Battery Types Sealed/AGM, GEL, Flooded, LiFePO4, Lithium-Ion and Custom Wireless Communication Bluetooth BLE 5.0 / 2.4GHz WiFi Wired Communication RS485, RJ45 Interface Default RS485 Baud Rate 115200 DC Load Modes Always On, Manual, Battery Voltage, Light, Light Timer, Light Repeat, Repeat and Segments USB Output 5V / 2A Maximum Terminal Wire Size 6 AWG / 13mm² Recommended PV/Battery Cable 8 AWG / 10mm² Recommended Load Cable 10 AWG / 6mm² Operating Temperature -25°C to +50°C Housing Material Flame-Retardant ABS with Aluminum-Alloy Heat Sink Protection Rating IP20 Product Dimensions 171 × 121 × 59mm Net Weight Approximately 800g Installation Environment Indoor, Dry and Well-Ventilated Location Important Notes: 1.Connect the battery first, the optional DC load second, and the solar panels last. 2.The total PV array Voc must always remain below 120V DC, including at the lowest local temperature. 3.Only 2.4GHz WiFi is supported; 5GHz WiFi is not supported. 4.Do not connect an inverter, AC appliance, battery charger, or other high-current equipment to the load terminals. 5.Lithium batteries must have a suitable BMS. Set the correct voltage and battery type in the App. 6.Install the controller indoors in a dry and well-ventilated location.

Variants (1)
  • Default Title — 56.99 EUR — In stock

How AI sees this product

The more complete this product's details, the more confidently AI assistants can understand and recommend it.

89%