详情

Data-Driven Health Management of Electrical Vehicle Battery Systems

项目名称：	Data-Driven Health Management of Electrical Vehicle Battery Systems
摘要：	The objectives of this research were to conduct theoretical and experimental investigations to develop a new battery health management paradigm based on a novel, self-cognizant dynamic system (SCDS) approach to predict and prevent failures of safety-critical battery systems (e.g., lithium plating and thermal runaway) for electric vehicles (EVs) and hybrid electric vehicles (HEVs) and develop an onboard diagnostics tool and alarm system for early awareness of these potential impending failures. This research developed a technique that can adaptively recognize the dynamic characteristics of an operating battery system over time without relying on expensive, time-consuming battery tests for the prediction and prevention of safety-critical battery system failures. Battery failure prognostics employing the proposed SCDS-based health management paradigm can not only account for normal battery capacity fading over time but also identify abnormal safety-critical failures that usually happen in a relatively shorter time period.
状态：	Completed
资金：	98000.00
资助组织：	Wichita State University<==>Department of Transportation<==>Midwest Transportation Center
执行机构：	Wichita State University
开始时间：	20141001
预计完成日期：	20170930
实际结束时间：	20180629
主题领域：	Highways；Vehicles and Equipment