A Framework for Optimization on Battery Cycle Life

In this study we develop a general approach to optimize battery cycle life while fulfilling both energy and power requirements. By investigating the impact of various battery parameters on energy density, power density and battery cycle life, we find that traditional energy and power density optimization does not lead to good battery cycle life: they have to be optimized together. This paper provides the battery cycle life optimization framework, algorithm and procedure that integrate energy density and power density constraints. We find that higher energy and power densities require smaller particle sizes in both the anode and the cathode, while better battery cycle life requires larger particle size in the anode and smaller particle size in the cathode. A significant increase of cycle life can be achieved by targeting an energy density slightly lower than the achievable maximum to free up the design space. The optimization procedure developed in this study can provide useful guidance for battery design and manufacturing. (C) The Author(s) 2018. Published by ECS.