WIRELESS CHARGING IN THE NEWS
At present, UAVs mainly supplement energy through the following ways, and the technical path is limited by battery technology, use scenarios and cost factors:
The classification of robot forms is mainly based on its physical structure, movement mode and environmental adaptability. Different forms determine the functional boundaries of robots in specific scenes. The following are the main categories and typical representatives:
Embodied AI Robot is the product of the deep integration of artificial intelligence and robotics in recent years, and its core idea is to allow the agent to interact with the environment through "embodied" (that is, having a physical entity), so as to achieve learning, perception and decision-making abilities closer to humans.
Charging efficiency is the key factor restricting the popularization of wireless charging technology. At 3-10cm transmission distance, the overall efficiency of the current mainstream scheme can reach 85%-92%, close to the level of wired charging, and its technological breakthrough mainly relies on three major innovations:
Compared to traditional charging methods, AGVs use wireless charging technology to break through physical limitations and achieve more efficient energy management. Its core advantages are reflected in the following aspects:
As the core equipment in the field of intelligent manufacturing and logistics, AGV's continuous operation ability directly affects production efficiency. Traditional AGVs mostly use contact charging or manual battery replacement, which has problems such as long downtime and equipment wear. The introduction of wireless charging technology provides a new solution for the energy management of AGV.
At Tesla's Shanghai Gigafactory, the newly constructed 4680 battery production line is deposting electrode material at a rate of 1 meter per microsecond. This breakthrough in manufacturing accuracy will promote a fundamental change in charging technology in 2025, and the vision of 80% of electric vehicles in 10 minutes is coming into reality.
At the Energy Laboratory of the Technical University of Munich, researchers are testing a charging optimization algorithm based on quantum computing. This algorithm can solve the optimization problem of millions of variables in 1 second, indicating that charging technology will enter the era of nanosecond decision-making.
In a 10,000-mu smart farm in Zhejiang Province, 20 AGV agricultural robots are realizing autonomous recharge through a magnetically coupled resonant wireless charging system. This charging system, jointly developed by DJI and Ningde Times, increases the charging efficiency to 92%, reduces the single recharge time to 45 minutes, and supports the robot to complete eight hours of high-intensity work.
Industry pain point: the charging problem in the sand environment Photovoltaic power stations are mostly distributed in harsh environments such as deserts, Gobi or plateaus, and face the challenges of strong wind and sand, high temperature difference and ultraviolet radiation all year round.
ndustry pain point: charging efficiency restricts warehousing logistics capacity AGV handling robots are the core equipment of intelligent warehousing, but traditional contact charging requires frequent docking of charging piles, and a single charge takes more than 30 minutes, resulting in a 15%20% reduction in the daily effective working time.
When the wireless charging power of electric vehicles breaks through 300kW, when the underwater robot achieves 50 meters deep sea charging, high-power long-distance wireless charging technology is reshaping the basic logic of energy transmission.