Tenpower 40TG Drones Weight v power trade off in pack design - how to pick the right balance.
Explore the Tenpower 40TG cell for drones, optimising weight and power trade-offs for enhanced performance and endurance in UAV applications.
Value Propositions
Cylindrical 21700 form factor for efficient design.
Nominal capacity of 14.4 Wh and 4.0 Ah for reliable energy delivery.
Top-quartile volumetric energy density of 575 Wh/l for compact designs.
Maximum continuous discharge of 35 A, ensuring high performance under load.
Gravimetric power density of 1,881 W/kg, ideal for dynamic UAV applications.

About the Cell
The Tenpower 40TG cell features a cylindrical 21700 form factor, providing a nominal capacity of 14.4 Wh and 4.0 Ah. With a volumetric energy density of 575 Wh/l, it stands out in compact UAV designs, allowing for lightweight battery packs without sacrificing performance. The gravimetric energy density of 215 Wh/kg ensures that this cell is suitable for high energy density drone batteries, making it a prime choice for UAV battery pack design. Additionally, the cell boasts a volumetric power density of 5,030 W/l, which is among the highest in the database, ensuring that it can deliver power efficiently during demanding flight conditions. The maximum continuous discharge rate of 35 A, combined with a maximum continuous charge rate of 6 A, positions the 40TG as a robust option for various drone applications, particularly in scenarios requiring high discharge rates.
Application Challenges
In the realm of drones, the challenge of balancing weight and power in battery pack design is critical. The Tenpower 40TG cell addresses the need for lightweight drone battery packs that do not compromise on performance. As UAVs are often deployed in demanding environments, the ability to extend flight time while maintaining a compact design is paramount. The weight versus power trade-off directly impacts mission endurance and operational efficiency. By selecting the right battery cell, designers can optimise UAV performance, ensuring that drones can operate effectively in various applications, from industrial inspections to heavy-lift missions. The 40TG's specifications make it a suitable candidate for addressing these challenges, enabling manufacturers to create custom UAV battery packs that meet specific mission requirements.
Why this Cell
The Tenpower 40TG cell is an excellent choice for drone applications due to its impressive specifications. With a volumetric energy density of 575 Wh/l, it is positioned in the top-quartile compared to the median of 542 Wh/l in the database, allowing for more energy storage in a smaller volume. This is crucial for UAV battery optimisation, as it enables longer flight times without increasing weight. The maximum continuous discharge rate of 35 A ensures that the cell can handle high power demands, which is essential for applications requiring rapid acceleration or heavy payloads. Furthermore, the gravimetric power density of 1,881 W/kg is significantly above the median of 750 W/kg, making it ideal for dynamic drone operations where weight is a critical factor. By choosing the 40TG, designers can achieve a superior balance of weight and power, enhancing overall UAV performance.
How Model-Based Design Helps
Simulation and model-based design play a vital role in optimising drone battery performance. By modelling load profiles, thermal behaviour, and voltage response, engineers can predict how the Tenpower 40TG cell will perform under various conditions. This approach allows for accurate assessments of usable energy and thermal management, which are critical for preventing overheating and ensuring safe operation. For instance, simulating different flight scenarios can help identify the optimal charge and discharge rates, ensuring that the cell operates within safe limits while delivering the required thrust. Additionally, these simulations can aid in selecting the best cell for specific mission profiles, reducing the risk of mid-air failures and enhancing mission reliability. Overall, model-based design supports informed decision-making in UAV battery design, leading to improved performance and efficiency.


