CATL LFP battery pack hits 1000km range
Chinese battery giant CATL has developed a fast charging battery pack that gives a range of 1000km to overcome range anxiety for electric vehicles.
The Shenxing PLUS battery pack uses CATL’s lithium iron phosphate (LFP) batteries and can charge at a rate of 4C.
“[This] provides users with a super-long range driving experience, exceeding 1,000 kilometers, which means a trip from Beijing to Nanjing without recharging on the road. This allows new energy vehicles to not only meet commuting needs in urban areas but also accommodate long-distance inter-provincial travel,” said the company.
The 1,000-km range comes from a series of incremental improvements, including a cell to pack architecture.
The cathode of LFP battery cell is made with a granular gradation technology, which CATL says places every nanoparticle in the optimal position to achieve ultra-high compact density.
A proprietary 3D honeycomb-shaped material is added to the anode, boosting the energy density while effectively controlling the volume expansion during charge and discharge cycles.
The single-piece casing, which is an industry first, optimizes the internal space utilization, allowing the cells to reach a higher energy density level. At the system level, the Shenxing PLUS battery pack has a topological structure optimized on top of module-free CTP 3.0 technology, enhancing the packing efficiency by 7%.
This increases the battery system’s overall energy density to over 200 Wh/kg threshold for the first time, reaching 205 Wh/kg, making ranges over 1,000 kilometers a reality.
The 4C fast charging can deliver a 600-km range in just 10 minutes of charging, or one kilometer per second.
This was achieved with fast lithium-ion conductive coating, the addition of transition metal elements, and new nanometer encapsulation, rendering smoother and more efficient energy transmission between cathode and anode materials.
CATL has also expanded the overcurrent area and capacity of the terminals in the battery system to rapidly dissipate heat during high-current charging. In terms of BMS core algorithms, A newly-developed AI polarization model can predict and control the charging current in real time, enabling faster and smarter energy replenishment.
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