Lithium-ion (Li-ion) battery is part of our everyday life. There are many automobiles invented today that operates by Li-ion batteries. The issue with batteries is that they lose capacity and reliability over time as they are charged and discharged. This paper introduces a lifecycle assessment system for Li-ion EV battery considering the condition of each battery which helps decision making. The proposed research concerns not only for the ad-hoc condition but also regular condition of the Li-ion EV battery. We apply the Markov Decision Process (MDP) with selected policies for the measurement of each stage probability. The result shows that we could monitor product aging status with the proposed algorithm. It also shows that the calculated product life span was longer than the general warranty time period.