LINKCO 200Wh/60Ah Portable Power Station LS-601, Home Use

LINKCO Portable Power Station – Your All-in-One Emergency Power Solution

• Catering for power needs in a variety of scenarios

1. Home/Office Emergency Power: Power lighting systems, refrigerators, fans, laptops and other critical equipment in the event of a power outage.
2. Outdoor Backup Power: Backup power for RV travel, camping, outdoor photography/live broadcasting and outdoor work.
3. Medical Rescue Support: Supports medical rescue equipment such as AEDs, ventilators and diagnostic equipment for emergency power needs.

Tip: Can be used with solar panels (sold separately) to build renewable energy microgrids.

• Core Technologies

①EV-Grade Lithium-Ion Battery System

1. The power station adopts high-density lithium-ion batteries with a capacity of up to 200Wh. 
2. 3,000+ cycles - 8–10-year lifespan.

②Pure Sine Wave Inverter

The power station features a pure sine wave inverter, with AC output supporting peak power of up to 200W, delivering grid-level, stable, and safe electricity for electrical devices. Its performance is superior to that of modified sine wave inverters:

1. Up to 20% lower energy loss
2. High-output stability Ideal for sensitive devices requiring premium power (e.g., precision instruments, high-end appliances, medical equipment).
3. Universal load compatibility Supports motors, capacitors, compressors, and accessories (e.g., electric ovens, fans, AC units, refrigerators).

③​Intelligent BMS (Battery Management System) - Protects the battery for longer durability

1. Real-time battery status monitoring
2. Prevents: Overcharge / Over discharge / Short circuits / Overheating

④Smart Cooling System-Automatically activates and adjusts the speed of the cooling fan in case of internal overheating, which is quiet and energy-saving.

• LINKCO Power Station Series – Choose the best power supply product for you

The LINKCO  offers a wide range of models with power outputs ranging from 2000W and diverse battery capacities. Users can precisely select the optimal model based on equipment power requirements and usage scenarios.

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