It is well-known that the life of battery is influenced by the temperature, current rate/ pattern, depth of discharge, and chemistry of cell. Capacity and power fade over cycling and storage of lithium ion batteries are still major barriers as their calendar life is 3-5 years whereas target automotive and stationary applications require 10-20years of life time. Battery lifetime is highly dependent on application conditions. In railway application the power pattern is usually similar and repeated, and needs at least 5 years-life warrant. Understanding the relationship between the operating conditions and aging behavior of the batteries is an important task to increase the lifespan. However, it is not easy to quantify the effect of each condition on aging behavior as the aging of batteries involves multiple closely interrelated factors. Accelerated degradation testing with associated modeling and data analysis can effectively be used to predict failure-time distributions. The behaviors of lithium ion cells and aging mechanisms are strongly dependent to the battery cell chemistry and technology so should be chosen in the right application. The lithium ion battery in railway is operated during the whole day time in the mainly outside, and needs high power, high energy characteristics like PHEV and should store the regenerative breaking energy from the traction driving motor.In this study by using an accelerated method the life of railway application battery is evaluated. This study attempts to quantify the strength of the stress factors and the relationship between aging behavior and operating conditions. The accelerating factor is a temperature and depth of discharge, current pattern to understand the effect on life.