What Is Adaptive Cell Limits in Battery Management

Modified on Tue, 18 Jul, 2023 at 3:49 PM

Adaptive cell limits in a battery management system (BMS) are a way of dynamically adjusting the voltage limits for each cell in a battery pack. This is done to ensure that the cells are operating within their safe operating range, even as the battery ages and the cells' individual characteristics change.



Traditional BMS systems use fixed voltage limits for each cell. This means that the limits are the same for all cells in the battery pack, regardless of their individual characteristics. This can be a problem, as cells can age at different rates and have different voltage thresholds. As a result, some cells may be operating outside their safe operating range, while others are not being used to their full potential.



Adaptive cell limits solve this problem by dynamically adjusting the voltage limits for each cell in the battery pack. This is done by monitoring the voltage of each cell and using a control algorithm to adjust the limits as needed. The control algorithm takes into account the individual characteristics of each cell, as well as the overall state of the battery pack.



As a result, adaptive cell limits provide a number of benefits over traditional BMS systems. 



These benefits include:

  • Improved battery life: By ensuring that all cells are operating within their safe operating range, adaptive cell limits can help to extend the battery life.
  • Improved performance: By allowing each cell to be used to its full potential, adaptive cell limits can improve the performance of the battery pack.
  • Increased safety: By preventing cells from operating outside their safe operating range, adaptive cell limits can help to prevent safety hazards.



Overall, adaptive cell limits are a valuable feature that can help to improve the performance, life, and safety of battery packs.


Was this article helpful?

That’s Great!

Thank you for your feedback

Sorry! We couldn't be helpful

Thank you for your feedback

Let us know how can we improve this article!

Select at least one of the reasons

Feedback sent

We appreciate your effort and will try to fix the article