Kokam SLPB98188216P Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Kokam SLPB98188216P cell for UAV applications, optimising mission feasibility with high energy density and performance.
Value Propositions
Pouch form factor with a nominal capacity of 111.0 Wh and 30.0 Ah.
Volumetric energy density of 257 Wh/l, providing efficient space utilisation.
Gravimetric energy density of 128 Wh/kg, ideal for lightweight drone battery packs.
Maximum continuous discharge of 600 A, supporting high discharge rate UAV batteries.
Volumetric power density of 5148 W/l, among the highest in the database.
About the Cell
The Kokam SLPB98188216P cell is designed in a pouch form factor, featuring a nominal capacity of 111.0 Wh and 30.0 Ah. It boasts a volumetric energy density of 257 Wh/l, which is around the median for high-performance batteries, making it suitable for various UAV applications. The gravimetric energy density is 128 Wh/kg, which is also competitive in the market, allowing for lightweight drone battery packs. With a maximum continuous discharge of 600 A, this cell supports demanding applications that require high discharge rates. Additionally, the volumetric power density of 5148 W/l is among the highest in the database, ensuring that the cell can deliver power efficiently during critical operations. These specifications make the SLPB98188216P an excellent choice for mission-critical UAV applications where performance and reliability are paramount.
Application Challenges
In the context of EVTOL and mission feasibility assessment, the Kokam SLPB98188216P cell addresses several key challenges. The ability to assess what missions or use cases are possible or not using a go/no-go decision is crucial for UAV operators. The high energy density of 111.0 Wh allows for extended flight times, which is essential for long endurance drone batteries. Additionally, the maximum continuous discharge of 600 A ensures that the cell can handle the power demands of various UAV missions, including heavy lift and fixed-wing UAV applications. The simulation-based approach to mission planning helps in accurately predicting battery performance under different conditions, thus improving UAV mission endurance and preventing battery overheating. This capability is vital for ensuring that UAVs can operate reliably in extreme environments, where temperature fluctuations and varying payloads can significantly impact performance.
Why this Cell
The Kokam SLPB98188216P cell is particularly well-suited for EVTOL applications due to its impressive specifications. With a nominal capacity of 111.0 Wh and a maximum continuous discharge of 600 A, it is positioned in the top-quartile compared to the median of 30 A in the database. This high discharge capability is essential for UAV battery optimisation, allowing for rapid energy delivery when needed. Furthermore, the volumetric energy density of 257 Wh/l is competitive, ensuring that the cell can fit into compact UAV designs without sacrificing performance. This makes it an ideal choice for custom UAV battery packs that require both power and efficiency. The lightweight design, combined with high energy density, directly contributes to improved flight times, addressing the pain point of extending drone flight time battery. Overall, the SLPB98188216P cell stands out as a reliable option for UAV applications, ensuring that operators can confidently plan missions with predictable outcomes.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in the effective utilisation of the Kokam SLPB98188216P cell for UAV applications. By modelling load profiles, thermal behaviour, and voltage response, engineers can accurately predict how the cell will perform under various mission scenarios. This approach allows for the identification of optimal operating conditions, ensuring that the cell delivers the required thrust and energy throughout the entire flight envelope. For instance, simulating the thermal rise during high discharge scenarios helps in selecting cells that can withstand demanding conditions without overheating. Additionally, using cell-specific data enables accurate predictions of state of charge (SoC), which is vital for making informed go/no-go decisions during mission planning. This predictive capability not only enhances operational efficiency but also builds confidence in the reliability of the UAV systems, reducing the risk of mid-air failures and costly mission aborts. Ultimately, simulation supports the design of battery thermal management systems that ensure safe operation in extreme environments, making it an indispensable tool in UAV battery design.
