Vysakh,

There are indeed more parameters which affect the battery lifetime such as state of charge (SOC) as well as the battery storage conditions (mostly affect calendar aging).

There are several models, generally categorized under empirical models and physics-based (or electrochemical) models to predict the battery life. The current battery management systems include some levels of fault diagnosis and battery aging prediction depending on the model they use.

There are also some standard experimental testing cycles that can give us some estimate about the degradation of the battery.

The following papers are recommended to get more info:

Article A Heuristic Supervisory Controller for a 48V Hybrid Electric...

Article Real-Time Reinforcement Learning Optimized Energy Management...

Hope it helps.

Good questions?

Load change is considered an external stressor that adversely impacts the failure rate (lambda) of the battery and, thus, impacts its mean time between failure (MTBF).

There are theoretical models that can predict battery's MTBF but the more accurate approach is to experimentally subject the battery to cyclic load changes using the so-called highly accelerated life testing (HALT).

Hope this helps answer your question.

Dear Farzam Malmir,

Please go through these articles, which will help you.

regards,

Energies 2016, 9, 812; doi:10.3390/en9100812

Appl. Sci. 2018, 8, 1825; doi:10.3390/app8101825