Entering voltage hysteresis in phase separating materials: revealing the thermodynamic origin of a newly discovered phenomenon and its impact on the electric response of a battery

TL;DR

This paper reveals the thermodynamic origin of voltage hysteresis in phase-separating battery materials, demonstrating how specific transient conditions can induce deep hysteresis loops that significantly affect battery electric response and performance.

Contribution

It uncovers the thermodynamic basis of voltage hysteresis in phase-separating materials and shows how to induce and analyze this phenomenon under realistic transient conditions.

Findings

Hysteresis can be entered deeply under specific transient conditions.

Intraparticle phase separation significantly alters battery electric response.

Transition to conventional phase separation outside hysteresis is very slow.

Abstract

Hysteresis is a general phenomenon regularly observed in measurements of various materials properties such as magnetism, elasticity, capillary pressure, adsorption, battery voltage etc. Usually, the hysteretic behaviour is an intrinsic property that cannot be avoided or circumvented in dynamic operation of the system. Here we show, however, that at least as regards the hysteretic behaviour of phase-separating battery materials, one can enter (deeply) into the hysteretic loop in specific, yet realistic, transient operating conditions. Within the hysteretic loop a (significant) portion of particle population resides in an intraparticle phase separated state. Interestingly, the transition to the more conventional interparticle phase separation state found outside the hysteretic loop is very slow. Further, we establish a direct interrelation between the intraparticle phase separated electrode state and altered electric response of the electrode, which significantly impacts DC and AC characteristics of the battery. The experimental evidence of entering the hysteretic loop and the resulting altered response of the battery are explained based on thermodynamic reasoning, advanced modelling and insightful experiments. We believe that the understanding of this phenomenon will help optimise the diagnostics and monitoring of batteries, while also providing pertinent motivation for the enhancement of battery design and performance.