Murata VTC5A Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Murata VTC5A cell for mission feasibility assessments in EVTOL applications, optimising drone battery performance and endurance.
Value Propositions
Cylindrical 18650 form factor for versatile applications.
Nominal capacity of 9.36 Wh and 2.6 Ah for reliable energy supply.
Top-quartile volumetric energy density of 543 Wh/l for compact designs.
Maximum continuous discharge of 35 A, supporting high power demands.
Gravimetric power density of 2,681 W/kg, ideal for UAV applications.
About the Cell
The Murata VTC5A is a cylindrical 18650 lithium-ion cell designed for high-performance applications. With a nominal capacity of 9.36 Wh and 2.6 Ah, it provides a reliable energy source for various UAV applications. The cell features a volumetric energy density of 543 Wh/l, placing it in the top-quartile compared to the median of 542 Wh/l in the database. Its gravimetric energy density of 199 Wh/kg is around the median, ensuring a lightweight solution for drone battery packs. The maximum continuous discharge rate of 35 A is particularly noteworthy, as it exceeds the median of 30 A, allowing for robust performance in demanding scenarios. Additionally, the volumetric power density of 7,309 W/l is among the highest in the database, enabling efficient energy delivery during operation. This combination of features makes the VTC5A an excellent choice for applications requiring high energy and power density.
Application Challenges
In the context of EVTOL applications, the mission feasibility assessment is crucial for determining which missions or use cases are viable. The ability to accurately predict battery performance under various conditions is essential for ensuring mission success. The VTC5A's high energy density allows for longer flight times, which is critical for missions that require extended operational periods. Additionally, the cell's robust discharge capabilities help prevent overheating and ensure reliable performance in extreme environments. By leveraging simulation techniques, operators can assess the feasibility of missions based on real-time data, thus enhancing decision-making processes. The challenges faced in UAV operations, such as varying temperatures and charge states, necessitate a battery that can perform consistently across different scenarios. The VTC5A addresses these challenges effectively, making it a suitable choice for UAV applications.
Why this Cell
The Murata VTC5A cell stands out in the EVTOL market due to its impressive specifications. With a maximum continuous discharge of 35 A, it is in the top-quartile compared to the median of 30 A, ensuring it can handle high power demands during critical phases of flight. Its volumetric energy density of 543 Wh/l is also noteworthy, as it is around the median, allowing for compact battery designs that do not compromise on performance. The cell's gravimetric power density of 2,681 W/kg is particularly advantageous for UAV applications, as it supports lightweight designs that enhance flight efficiency. These metrics are essential for mission feasibility assessments, as they directly impact the drone's ability to perform under various conditions. By selecting the VTC5A, operators can ensure they are utilising a cell that meets the rigorous demands of UAV operations.
How Model-Based Design Helps
Simulation and model-based design play a pivotal role in optimising the performance of the Murata VTC5A cell for UAV applications. By modelling load profiles, thermal behaviour, and voltage response, engineers can predict how the cell will perform under different operational scenarios. This approach allows for the identification of potential issues such as overheating or insufficient energy delivery before they occur in real-world applications. For instance, simulating the thermal rise during high discharge rates can help in selecting the appropriate battery management systems to prevent thermal runaway. Additionally, voltage sag can be accurately predicted, ensuring that the drone maintains adequate thrust throughout its flight. By utilising cell-specific data, operators can make informed go/no-go decisions based on the predicted state of charge (SoC) and environmental conditions. This level of analysis is crucial for ensuring mission success and reliability in UAV operations.
