Data from long time testing of 18650 lithium polymer batteries.

Area of Science:

• Materials Science
• Electrochemistry
• Energy Storage

Background:

• 18650 lithium-ion batteries are widely used in portable electronics and electric vehicles.
• Understanding battery degradation is crucial for predicting lifespan and ensuring safety.
• Long-term performance data is essential for developing more durable and efficient battery technologies.

Purpose of the Study:

• To provide a comprehensive dataset on the long-term cycling performance of various 18650 lithium-ion battery models.
• To enable analysis of battery capacity fade as a function of the number of charge/discharge cycles.
• To investigate the influence of temperature on battery capacity retention.

Main Methods:

• Four types of 18650 lithium-ion batteries (Samsung, Joy, GP, EVC) were subjected to prolonged charge/discharge cycling.
• A controlled constant current of 1 A per battery was applied using a NI cRIO system programmed in LabView.
• Battery current was measured using LEM LA 55-P transducers, and voltage was recorded via cRIO analog inputs.

Main Results:

• The dataset includes measurements for 1200 to 1940 full charge/discharge cycles for each battery type.
• The data allows for the quantitative analysis of capacity versus cycle number.
• Simultaneous temperature measurements enable the study of capacity dependence on operating temperature.

Conclusions:

• This dataset offers valuable insights into the long-term aging mechanisms of 18650 lithium-ion batteries.
• It serves as a resource for researchers and engineers to model battery degradation and optimize performance.
• The findings can inform the design of next-generation batteries with enhanced longevity and thermal management.