arrow
返回

Static Analysis for Worst-Case Battery Utilization

delete2019-05-01
delete1
PRE
AI
D
Dmitry Ivanov *
S
Sibylle Schupp
DOI:10.1109/FormaliSE.2019.00009delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Lithium-ion batteries demonstrate two kinds of non-linear behavior: rate capacity effects and recovery effects. These effects are dual to each other and show the dependency between the power consumption profile and battery utilization, i.e., the fraction of the battery charge that can be withdrawn. We propose a static analysis for computing the lower bound of battery utilization based on the Kinetic Battery Model (KiBaM), an analytical model capturing nonlinear battery behavior. Our method does not depend on the battery charge level and can be composed with other flow analyses and model checking techniques for improved accuracy. We propose a modification to the worklist algorithm for totally ordered semilattices with computable fixed-points of transfer functions, which is necessary for computing our analysis. We prove the termination and correctness of our algorithm and introduce a nonforgetful extension to it for speeding up convergence. We implement the battery-utilization in the software verification tool CPAchecker by encoding the analysis together with our algorithm in a relaxed instance of a configurable program analysis (CPA). Our experiments show that the convergence speed up is sometimes achievable, but does not necessarily lead to a performance improvement.
Keyword:
static analysis
battery utilization
fixed-point computation for total lattices
worklist algorithm
KiBaM
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

I
IEEE/ACM International Workshop on Formal Methods in Software Engineering
IF:
0
论文数:
1
被引数:
0

机构

H
Hamburg University of Technology
学者数:
2.9K
论文数: 2.6K
被引数: 4.4K
引用论文

引用论文

err分享
err收藏
Risk factors for premature coronary artery disease and determinants of adverse outcomes after revascularization in patients ≤40 years old
err2003-12-01
err0
PREAI
errDebabrata Mukherjee; Amy Hsu; David J Moliterno; A.Michael Lincoff; Marlene Goormastic; Eric J Topol
err分享
err收藏
err分享
err收藏
Persistent pulmonary congestion before discharge predicts rehospitalization in heart failure: a lung ultrasound study
err2015-09-04
err0
errOAAI
errLuna Gargani; P. S. Pang; F. Frassi; M.H. Miglioranza; F. L. Dini; P. Landi; E. Picano
err分享
err收藏
学者 查看更多内容