Speaker

   Prof. Qiang Zhou (City University of Hong Kong) 

　　Title

   Prediction of Remaining Useful Life for Automotive Batteries 汽车电池剩余寿命的预测                        

　　Time

    2013.6.27 2:30pm                                      

　　Venue

　　S712

　　Abstract

   As the sole power source, normal operation of the on-vehicle lead-acid battery is critical to a vehicle’s overall functionality. The battery needs to be constantly monitored and well-maintained for its health status. Accurate prediction of remaining useful life is the key to developing cost-effective maintenance strategies. We proposed a prognostic algorithm for the remaining useful life of automotive batteries based on both time-to-failure data and evolution of its internal resistance. A two-stage approach, containing an offline modeling stage and an online prediction stage, has been developed to reduce computational load, which makes possible the implementation of the algorithm in vehicle onboard micro-controllers. A simulation study and a real data case study have been conducted to demonstrate the effectiveness of the proposed method. Brief introductions to two other research topics I have been working on (design and analysis of multivariate computer experiments; modeling and analysis of spatial point patterns) will be given at the end.

　　Affiliation

    Dr. Qiang Zhou is an assistant professor at the Department of Systems Engineering and Engineering Management, City University of Hong Kong. He received a B.S. in Automotive Engineering (2005) and a M.S. in Mechanical Engineering (2007) from Tsinghua University, a M.S. in Statistics (2010) and a Ph.D. in Industrial Engineering (2011) at the University of Wisconsin-Madison. His research interests include modeling and analysis of complex engineering systems for the purpose of quality control and productivity improvement, system health prognosis and management, and design and analysis of computer experiments.