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Electric vehicles (EVs) are key to sustainable mobility, yet their lithium-ion batteries (LIBs) degrade more rapidly under prolonged high states of charge (SOC). This can be mitigated by delaying full charging \ours until just before…

Machine Learning · Computer Science 2025-12-11 Yonggeon Lee , Jibin Hwang , Alfred Malengo Kondoro , Juhyun Song , Youngtae Noh

Accurate state of charge estimation is critical for the success of electric vehicle battery management strategies, but it is well known that conventional estimators suffer from two fundamental shortcomings: cumulative errors that grow over…

Machine Learning · Computer Science 2026-05-14 Han Wang , Ying Wang , Bing Wang

Modelling the temperature of Electric Vehicle (EV) batteries is a fundamental task of EV manufacturing. Extreme temperatures in the battery packs can affect their longevity and power output. Although theoretical models exist for describing…

Machine Learning · Computer Science 2022-12-19 Jeyhun Rustamov , Luisa Fennert , Nico Hoffmann

Accurately predicting the state of charge of Lithium-ion batteries is essential to the performance of battery management systems of electric vehicles. One of the main reasons for the slow global adoption of electric cars is driving range…

Systems and Control · Electrical Eng. & Systems 2024-10-23 Hadeel Aboueidah , Abdulrahman Altahhan

The battery management system plays a vital role in ensuring the safety and dependability of electric and hybrid vehicles. It is responsible for various functions, including state evaluation, monitoring, charge control, and cell balancing,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Narayana Darapaneni , Ashish K , Ullas M S , Anwesh Reddy Paduri

The rapid expansion of electric vehicles (EVs) has rendered the load forecasting of electric vehicle charging stations (EVCS) increasingly critical. The primary challenge in achieving precise load forecasting for EVCS lies in accounting for…

Systems and Control · Electrical Eng. & Systems 2024-06-14 Zongbao Zhang , Jiao Hao , Wenmeng Zhao , Yan Liu , Yaohui Huang , Xinhang Luo

Accurate state of temperature (SOT) estimation for batteries is crucial for regulating their temperature within a desired range to ensure safe operation and optimal performance. The existing measurement-based methods often generate noisy…

Systems and Control · Electrical Eng. & Systems 2025-03-18 Myisha A. Chowdhury , Qiugang Lu

As the automotive industry moves towards vehicle electrification, designing and optimizing thermal management systems (TMSs) for Battery Electric Vehicles (BEVs) has become a critical focus in recent years. The dependence of battery…

Systems and Control · Electrical Eng. & Systems 2025-12-01 Reihaneh Jahedan , Satya Peddada , Mark Jennings , Sunil Katragadda , James Allison , Nenad Miljkovic

The rapid adoption of battery-powered vehicles and energy storage systems over the past decade has made battery health monitoring increasingly critical. Batteries play a central role in the efficiency and safety of these systems, yet they…

Machine Learning · Computer Science 2025-11-18 Janak M. Patel , Milad Ramezankhani , Anirudh Deodhar , Dagnachew Birru

As the number of electric vehicles (EVs) continues to grow, the demand for charging stations is also increasing, leading to challenges such as long wait times and insufficient infrastructure. High-precision forecasting of EV charging demand…

Systems and Control · Electrical Eng. & Systems 2025-02-25 Saba Sanami , Hesam Mosalli , Yu Yang , Hen-Geul Yeh , Amir G. Aghdam

Battery health monitoring is critical for the efficient and reliable operation of electric vehicles (EVs). This study introduces a transformer-based framework for estimating the State of Health (SoH) and predicting the Remaining Useful Life…

Machine Learning · Computer Science 2025-01-31 Aybars Yunusoglu , Dexter Le , Karn Tiwari , Murat Isik , I. Can Dikmen

The battery performance and lifespan of electric vehicles (EVs) degrade significantly in cold climates, requiring a considerable amount of energy to heat up the EV batteries. This paper proposes a novel technology, namely…

Systems and Control · Electrical Eng. & Systems 2025-01-03 Grant Ruan , Munther A. Dahleh

This paper addresses optimal battery thermal management (BTM), charging, and eco-driving of a battery electric vehicle (BEV) with the goal of improving its grid-to-meter energy efficiency. Thus, an optimisation problem is formulated, aiming…

Systems and Control · Electrical Eng. & Systems 2022-05-04 Ahad Hamednia , Nikolce Murgovski , Jonas Fredriksson , Jimmy Forsman , Mitra Pourabdollah , Viktor Larsson

Time series data is a prevalent form of data found in various fields. It consists of a series of measurements taken over time. Forecasting is a crucial application of time series models, where future values are predicted based on historical…

Machine Learning · Computer Science 2025-09-23 Sahar Koohfar , Wubeshet Woldemariam

This article proposes an offline Energy Management System (EMS) for Parallel Hybrid Electric Vehicles (PHEVs). Dividing the torque between the Electric Motor (EM) and the Internal Combustion Engine (ICE) requires a suitable EMS. Batteries…

Systems and Control · Electrical Eng. & Systems 2023-02-28 Arash Mousaei

This paper addresses the problem of predicting the energy consumption for the drivers of Battery electric vehicles (BEVs). Several external factors (e.g., weather) are shown to have huge impacts on the energy consumption of a vehicle…

Systems and Control · Electrical Eng. & Systems 2024-05-21 Yu-Wen Huang , Christian Prehofer , William Lindskog , Ron Puts , Pietro Mosca , Göran Kauermann

A key challenge that is currently hindering the widespread use of retired electric vehicle (EV) batteries for second-life (SL) applications is the ability to accurately estimate and monitor their state of health (SOH). Second-life battery…

Systems and Control · Electrical Eng. & Systems 2024-07-16 Xiaofan Cui , Muhammad Aadil Khan , Surinder Singh , Ratnesh Sharma , Simona Onori

Electric Vehicle (EV) fleets have dramatically expanded over the past several years. There has been significant increase in interest to electrify all modes of transportation. EVs are primarily powered by Energy Storage Systems such as…

Machine Learning · Computer Science 2020-11-20 Aniruddh Herle , Janamejaya Channegowda , Dinakar Prabhu

The transition to Electric Vehicles (EV) in place of traditional internal combustion engines is increasing societal demand for electricity. The ability to integrate the additional demand from EV charging into forecasting electricity demand…

Machine Learning · Computer Science 2023-06-12 Raiden Skala , Mohamed Ahmed T. A. Elgalhud , Katarina Grolinger , Syed Mir

The widespread adoption of Electric Vehicles (EVs) is limited by their reliance on batteries with presently low energy and power densities compared to liquid fuels and are subject to aging and performance deterioration over time. For this…

Machine Learning · Computer Science 2022-06-17 Khaled Sidahmed Sidahmed Alamin , Yukai Chen , Enrico Macii , Massimo Poncino , Sara Vinco
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