Battery Lifetime Prognostics

Electrochemistry-based Battery Modeling for Prognostics

Batteries are used in a wide variety of applications. In recent years, they have become popular as a source of power for electric vehicles such as cars, unmanned aerial vehicles, and commericial passenger aircraft. In such application domains, it becomes crucial to both monitor battery health and performance and to predict end of discharge (EOD) and end of useful life (EOL) events. To implement...

Lifetime Improvement by Battery Scheduling

The use of mobile devices is often limited by the lifetime of their batteries. For devices that have multiple batteries or that have the option to connect an extra battery, battery scheduling, thereby exploiting the recovery properties of the batteries, can help to extend the system lifetime. Due to the complexity, work on battery scheduling in literature is limited to either small batteries or...

Data-Driven Lead-Acid Battery Prognostics Using Random Survival Forests

Problems with starter batteries in heavy-duty trucks can cause costly unplanned stops along the road. Frequent battery changes can increase availability but is expensive and sometimes not necessary since battery degradation is highly dependent on the particular vehicle usage and ambient conditions. The main contribution of this work is a case-study where prognostic information on remaining usef...

Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model

In off-grid wind energy systems batteries often undergo frequent charge discharge cycles, which reduce battery service life. In addition, due to motor start and other high ‘inrush current’ loads batteries can also undergo high rates of discharge which also degrade battery life. In this paper, a superconducting magnetic energy storage and battery hybrid energy storage system is proposed which is...

Models for Battery Reliability and Lifetime