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Related papers: How Long Will My Phone Battery Last?

200 papers

Accurate battery lifetime prediction is important for preventative maintenance, warranties, and improved cell design and manufacturing. However, manufacturing variability and usage-dependent degradation make life prediction challenging.…

Machine Learning · Computer Science 2024-04-23 Tingkai Li , Zihao Zhou , Adam Thelen , David Howey , Chao Hu

Ageing of lithium-ion batteries results in irreversible reduction in performance. Intrinsic variability between cells, caused by manufacturing differences, occurs throughout life and increases with age. Researchers need to know the minimum…

Batteries are dynamic systems with complicated nonlinear aging, highly dependent on cell design, chemistry, manufacturing, and operational conditions. Prediction of battery cycle life and estimation of aging states is important to…

Systems and Control · Electrical Eng. & Systems 2024-10-11 Joachim Schaeffer , Giacomo Galuppini , Jinwook Rhyu , Patrick A. Asinger , Robin Droop , Rolf Findeisen , Richard D. Braatz

Research on mobile phone use often starts with a question of "How much time users spend on using their phones?". The question involves an equal-length measure that captures the duration of mobile phone use but does not tackle the other…

Computers and Society · Computer Science 2017-11-28 Jonathan J. H. Zhu , Hexin Chen , Tai-Quan Peng , Xiao Fan Liu , Haixing Dai

The power management techniques to extend battery lifespan is becoming increasingly important due to longer user applications' running time in mobile devices. Even when users do not use any applications, battery lifespan decreases…

Hardware Architecture · Computer Science 2021-01-25 Geunsik Lim , Changwoo Min , Dong Hyun Kang , Young Ik Eom

Reliable health assessment of retired lithium-ion batteries is essential for safe and economically viable second-life deployment, yet remains difficult due to sparse measurements, incomplete historical records, heterogeneous chemistries,…

Signal Processing · Electrical Eng. & Systems 2025-12-02 Song Zhang , Ruohan Guo , Xiaohua Ge , Perter Mahon , Weixiang Shen

With today's technological advancements, mobile phones and wearable devices have become extensions of an increasingly diffused and smart digital infrastructure. In this paper, we examine mobile health (mHealth) platforms and their health…

General Economics · Economics 2021-02-18 Anindya Ghose , Xitong Guo , Beibei Li , Yuanyuan Dang

Over the years, mobile phones have become versatile devices with a multitude of capabilities due to the plethora of embedded sensors that enable them to capture rich data unobtrusively. In a world where people are more conscious regarding…

Human-Computer Interaction · Computer Science 2021-01-05 Lakmal Meegahapola , Daniel Gatica-Perez

Lithium-ion batteries are recognised as a key technology to power electric vehicles and integrate grid-connected renewable energy resources. The economic viability of these applications is affected by the battery degradation during its…

Applied Physics · Physics 2020-07-07 Ahmed Gailani , Rehab Mokidm , Moaath El-Dalahmeh , Maad El-Dalahmeh , Maher Al-Greer

A voltage-based method is proposed to correct battery pack state of charge (SOC) estimation at the charge-end. Two main characteristics make the charge-end time span a good opportunity to correct SOC estimation: first, it is easy to detect…

Systems and Control · Electrical Eng. & Systems 2022-03-11 Ali Abdollahi , Jianwei Li , Xiaojun Li , Trevor Jones , Asif Habeebullah

Accurately predicting the state of health for sodium-ion batteries is crucial for managing battery modules, playing a vital role in ensuring operational safety. However, highly accurate models available thus far are rare due to a lack of…

Machine Learning · Computer Science 2025-09-11 Jiapeng Liu , Lunte Li , Jing Xiang , Laiyong Xie , Yuhao Wang , Francesco Ciucci

This paper presents a comprehensive review of AI-driven prognostics for State of Health (SoH) prediction in lithium-ion batteries. We compare the effectiveness of various AI algorithms, including FFNN, LSTM, and BiLSTM, across multiple…

Artificial Intelligence · Computer Science 2025-04-09 Tianqi Ding , Dawei Xiang , Tianyao Sun , YiJiashum Qi , Zunduo Zhao

A conventional electric vehicle (EV) powertrain relies on a centralized high-voltage DC-AC inverter, thereby limiting cell-level control and potentially reducing overall driving range and battery lifetime. This paper studies an…

Systems and Control · Electrical Eng. & Systems 2026-04-09 Shida Jiang , Shengyu Tao , Vincent Molina , Junzhe Shi , Scott Moura

An accurate estimation of the state of health (SOH) of batteries is critical to ensuring the safe and reliable operation of electric vehicles (EVs). Feature-based machine learning methods have exhibited enormous potential for rapidly and…

Systems and Control · Electrical Eng. & Systems 2024-04-16 Nanhua Jiang , Jiawei Zhang , Weiran Jiang , Yao Ren , Jing Lin , Edwin Khoo , Ziyou Song

Mobile systems offer portable and interactive computing, empowering users, to exploit a multitude of context-sensitive services, including mobile healthcare. Mobile health applications (i.e., mHealth apps) are revolutionizing the healthcare…

Software Engineering · Computer Science 2020-09-01 Bakheet Aljedaani , Aakash Ahmad , Mansooreh Zahedi , M. Ali Babar

In the era of sustainable transportation, the significance of electric vehicles (EVs) and their battery technology is becoming increasingly paramount. This study addresses the critical aspect of EV battery reliability, an essential factor…

Systems and Control · Electrical Eng. & Systems 2024-01-11 Jing , Lin , Christofer Silfvenius

Understanding how batteries perform after automotive use is crucial to determining their potential for reuse. This article presents experimental results aimed at advancing knowledge of retired battery performance. Three modules extracted…

Systems and Control · Electrical Eng. & Systems 2025-07-21 Marwan Hassini , Colette Mintsa-Eya , Eduardo Redondo-Iglesias , Pascal Venet

Battery safety is important, yet safety limits are normally static and do not evolve as batteries degrade. Consequently, many battery systems are overengineered to meet increasingly stringent safety demands. In this work we show that…

Chemical Physics · Physics 2024-08-30 Xinlei Gao , Ruihe Li , Gregory J. Offer , Huizhi Wang

Imbalanced nutrition is a global health issue with significant downstream effects. Current methods of assessing nutrient levels face several limitations, with accessibility being a major concern. In this paper, we take a step towards…

Medical Physics · Physics 2024-10-17 Andrew Balch , Maria A. Cardei , Afsaneh Doryab

Social networks have an important role in an individual's health, with the propagation of health-related features through a network, and correlations between network structures and symptomatology. Using Bluetooth-enabled smartphones to…

Social and Information Networks · Computer Science 2015-08-18 Samuel Townsend , Mark E. Larsen , Tjeerd W. Boonstra , Helen Christensen