Murata VTC6A Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Murata VTC6A cell for drones, designed for mission feasibility assessments and optimised for high energy density and performance.
Value Propositions
Cylindrical 21700 form factor for compact design.
Nominal capacity of 14.44 Wh and 4.1 Ah for reliable performance.
Top-quartile volumetric power density of 5762 W/l for high efficiency.
Gravimetric energy density of 199 Wh/kg, ideal for lightweight applications.
Maximum continuous discharge of 40 A for demanding missions.
About the Cell
The Murata VTC6A is a cylindrical 21700 lithium-ion cell, boasting a nominal capacity of 14.44 Wh (4.1 Ah). With a volumetric energy density of 578 Wh/l, it is designed for high energy applications, particularly in drone technology. The cell features a maximum continuous discharge of 40 A, making it suitable for high-performance UAVs. Its gravimetric energy density of 199 Wh/kg positions it well among competitors, ensuring lightweight battery packs without compromising on power. This cell is particularly effective for applications requiring long endurance and high discharge rates, as it offers a standard charge current of 4.5 A and a maximum continuous charge of 9 A. Compared to the database median, the VTC6A's volumetric power density is in the top-quartile, exceeding the median by +184%.
Application Challenges
In the context of drones, mission feasibility assessment is crucial for determining which missions can be executed successfully. The Murata VTC6A cell addresses challenges such as ensuring reliable power delivery during critical flight phases and optimising energy use for extended flight times. The high energy density of the VTC6A allows for longer missions without the need for frequent recharging, which is essential for applications like industrial inspections and emergency response. Additionally, the ability to handle high discharge rates ensures that the drone can perform demanding tasks without risking battery failure. Accurate predictions of state of charge (SoC) are vital to prevent mid-air failures, especially in extreme environments where temperature fluctuations can affect battery performance. The VTC6A's robust design and performance metrics make it an ideal choice for UAV applications requiring dependable energy sources.
Why this Cell
The Murata VTC6A cell is specifically designed to meet the rigorous demands of drone applications. With a maximum continuous discharge rate of 40 A, it is well-suited for high-energy tasks, ensuring that drones can operate efficiently during critical missions. Its gravimetric energy density of 199 Wh/kg places it in the top-quartile compared to the database median, allowing for lightweight battery packs that enhance flight endurance. The cell's volumetric energy density of 578 Wh/l further supports long-duration flights, making it a prime candidate for UAV battery pack design. By selecting the VTC6A, engineers can optimise their drone designs for better performance and reliability, particularly in challenging environments where battery efficiency is paramount.
How Model-Based Design Helps
Simulation and model-based design play a pivotal role in the selection and optimisation of battery cells for drone applications. By simulating various mission profiles, engineers can accurately predict the thermal behaviour and voltage response of the Murata VTC6A under different load conditions. This allows for a detailed analysis of how the cell performs in real-world scenarios, including its ability to maintain performance during high discharge rates. The modelling of heat generation and energy consumption enables engineers to identify the most suitable cells for specific missions, ensuring that the chosen battery can deliver the required thrust and energy throughout the flight. Furthermore, simulation helps in assessing the impact of environmental factors, such as temperature variations, on battery performance, which is crucial for mission feasibility assessments. By leveraging these advanced modelling techniques, UAV designers can make informed decisions that enhance the reliability and efficiency of their drone systems.
