Most Recent

Machine-learning models fitted to limited battery inventory data may reproduce nominal carbon footprints accurately while failing to preserve known inventory–emission relationships under changed inputs. This study evaluates accounting-guided da...

Accurate state-of-charge (SOC) estimation is essential for lithium-ion battery management, but low temperatures, dynamic loads, and measurement disturbances challenge both model-based and data-driven estimators. This study proposes a physics-gated mu...

Data-driven battery state estimation has been widely studied in recent years to enable safe, reliable, and lifetime-aware battery management in e-mobility applications, where accurate estimation is essential under highly dynamic operating conditions....

This review surveys machine learning approaches for cathode materials in secondary metal-ion batteries, covering classical algorithms, deep neural networks and graph neural networks, and linking them to the main cathode chemistries and electrochemica...

The use of conventional fluorinated refrigerants, such as R134a and R1234yf, is being progressively restricted as regulations on persistent substances, including per- and polyfluoroalkyl substances (PFAS), become increasingly stringent. Accordingly,...

Pressure-related quantities such as internal pressure, cell expansion, and housing deformation are promising mechanical indicators of lithium-ion battery ageing because they are directly linked to degradation processes such as gas formation, lithium...

Accurate State of Health (SOH) estimation is essential for the safe and reliable operation of lithium-ion batteries (LIBs), yet most electrochemical impedance spectroscopy (EIS)-based approaches fix a single equivalent circuit model (ECM) topology an...

Accurate and rapid state-of-health (SOH) estimation is important for lithium-ion battery management, but many existing methods require complete charge–discharge curves or long static-rest measurements. This study develops a SOH estimation metho...

Non-linear changes and local fluctuations during lithium-ion battery capacity degradation complicate state of health (SOH) characterization. This study proposes a multiscale capacity reconstruction method combining complete ensemble empirical mode de...

Thermal runaway of lithium-ion batteries is a critical issue restricting their safe application. Efficient thermal management and flame-retardant protection are essential for improving the safety of battery systems. In this study, polyethylene glycol...

The increasing thermal load associated with fast charging represents a major challenge for lithium-ion battery thermal management, particularly at high C-rates where conventional air cooling becomes insufficient. This study numerically investigates t...

Early detection of thermal runaway in electric vehicle batteries remains challenging, and warning lead times during real-world operation are often limited. This paper proposes a hierarchical thermal runaway warning method based on an improved SegRNN...

Accurate state-of-charge (SoC) estimation is central to safe and efficient Battery Management Systems (BMS) in electric vehicles. This study evaluates a multipulse Hybrid Pulse Power Characterization (HPPC) protocol using three discharge rates (0.5 C...

Rational design of nanostructures composed of mixed-metal oxides synthesized from metal–organic frameworks (MOFs) is a very promising way to enhance the electrochemical performance (EP) of supercapacitor electrode materials. In this work, a por...

The widespread adoption of electric vehicles demands lithium-ion batteries capable of fast charging, yet achieving this without compromising cycle stability remains a critical challenge. While constant voltage (CV) charging is inherently capable of d...

Studies that use the same public lithium-ion battery dataset do not necessarily evaluate the same state-of-health (SOH) estimation task; reported performance depends on how the experiment is defined. We mapped 408 studies and then examined a nested s...

High-energy-density supercapacitors are attracting increasing interest as electrochemical energy-storage devices capable of bridging the gap between conventional electric double-layer capacitors and rechargeable batteries. However, increasing energy...

Community-based energy sharing requires a local trading mechanism that provides economic incentives for both energy suppliers and consumers. This study proposes OptiPro, a framework for enabling a residential local energy market in which renewable-en...

Among various data-driven approaches for remaining useful life (RUL) prediction, Wiener process-based degradation models are interpretable and quantify uncertainty. However, existing methods that combine artificial neural networks (ANNs) with the Wie...

Accurate state-of-health (SOH) estimation across nonlinear battery aging is challenged by condition-dependent feature relevance. This study combines aging data up to a defined 80% SOH operational end-of-life threshold with an adaptive SHapley Additiv...

Screening of retired lithium ion cells limits second-life deployment, because full characterization resolves retention well yet occupies a test channel for hundreds of hours per cell. This study measures how much screening information each chronologi...

High photovoltaic (PV) penetration in distribution networks can be limited by voltage rise, unbalance, harmonics, thermal loading, and converter-current constraints before the available solar resource is fully utilized. Battery energy storage systems...

Accurate capacity estimation of lithium-ion batteries (LIBs) in real-world electric vehicles (EVs) remains a critical challenge due to complex degradation mechanisms, sparse cloud-platform data, and the limitations of existing single-model approaches...

Particle cracking contributes to lithium-ion battery degradation, motivating modeling approaches that combine numerical adaptability with interpretable degradation knowledge. Mamdani fuzzy systems encode such knowledge through linguistic rules, but t...

Conventional powertrain sizing of diesel–battery hybrid trains evaluates candidate component sizes on a common prescribed driving cycle, although each design changes the fuel-efficient speed trajectory and power split. This study develops a con...

Recovery of critical metals from spent lithium-ion batteries commonly relies on single-pass chemical reductants, increasing reagent consumption and limiting opportunities for reductant reuse. In this study, electrochemically assisted leaching (EAL) w...

The validity of the models incorporated into battery management systems (BMSs) is crucial to the safe and effective use of lithium-ion batteries (LIBs), the predominant electrochemical energy storage technology for electric vehicles (EVs) and station...

Few-shot adaptation of vision–language models (VLMs) could reduce the labeling effort for defect screening in scanning electron microscopy (SEM) of polymer electrolyte membrane (PEM) fuel-cell materials. We built a leakage-controlled benchmark...

Continuous twin-screw extrusion of graphite anode slurries operates in a narrow window: too little kneading leaves carbon black agglomerates, and too much fractures the graphite. Existing studies collapse both defects into a single pass/fail criterio...

State-adaptive risk-aware rolling model predictive control (SA-RR-MPC) links experimentally calibrated battery action limits to grid-side tracking and ramp-risk costs in wind–solar–vanadium redox flow battery (VRFB) regulation. Protocol-m...

Room-temperature sodium–sulfur (RT Na–S) batteries are gaining renewed interest as a cost-effective, high-energy-density candidate for next-generation storage, owing to their high theoretical specific energy (1274 Wh kg⁻¹) and the e...

Increasing knowledge of lithium-ion battery degradation continues to play a vital role in fields such as consumer and transportation applications for optimal efficiency in power delivery to devices. To accomplish this, recent avenues in battery manag...

Additional sensor modalities may improve short-horizon lithium-ion battery thermal-runaway (TR) forecasting within familiar experimental domains, but whether that benefit persists in unseen cell/source families is unclear. This study evaluated cross-...

Lithium-ion batteries in unmanned aerial vehicles (UAVs) experience highly dynamic electrical loads, but thermal warning criteria are rarely interpreted against non-abuse aviation-oriented operating states. This study integrated three independent dat...

Accurate battery fault detection and diagnosis (FDD) is essential for ensuring the safety, health monitoring, and operational performance of electric vehicles (EVs). Yet, existing research still suffers from issues such as limited classification accu...

This study investigates how two-RC equivalent circuit model (ECM) parameters reflect battery aging and contribute to state-of-health (SOH) estimation under different operating conditions. The analysis uses 12,643 measurements from 30 LG HE4 cells age...

This paper presents HAC-DBAT, a normal-data-only dual-branch Transformer framework for record-level fault recognition and faulty-cell localization in heterogeneous electric-vehicle battery packs. The dataset comprises 88 vehicle records, including 34...

Aiming to mitigate the issues of heat buildup and excessive flow resistance in traditional cold plates applied to lithium-ion batteries, this work develops a topology optimization framework and produces two optimized layouts (Case III and Case IV) wi...

Aqueous organic flow batteries (AOFBs) are a promising technology for large-scale energy storage. The electrolyte solution is significant in determining the battery’s performance, which has so far remained poorly understood, especially for conc...

A growing number of second-life battery companies are entering North America’s stationary energy storage market as the demand for both electric vehicles and electricity grid energy storage continues to rise. These companies have many potential...

Accurate state of charge (SOC) estimation for lithium-ion batteries (LIBs) is essential. To overcome the susceptibility of conventional data-driven models to local optima and terminal divergence under complex conditions, this paper proposes a novel j...

Thermally induced damage in lithium-ion batteries (LIBs) is a critical safety concern, especially when approaching thermal runaway (TR) conditions. In this study, electrochemical impedance spectroscopy (EIS) was used to detect thermally induced damag...

With the increasing renewable penetration in electrical grids, high power ramp rates can lead to grid instability. Power ramp-rate control (PRRC) requirements are being implemented in an increasing number of countries, with penalties for non-complian...

Lithium-ion batteries (LIBs) have been widely used in electric vehicles and energy storage systems. Due to their high energy density and complex structural components, thermal runaway of LIBs can lead to severe fire and explosion hazards. Densely arr...

The structural design of self-standing electrodes without binders and current collectors is critical for maximizing the energy density of lithium-ion batteries, yet achieving electrical conductivity, ion accessibility, and mechanical integrity in a s...

As a core component of the new power system, energy-storage batteries undergo capacity degradation, increasing internal resistance and declining state of health (SOH) as a result of calendar aging. These changes compromise the operational safety and...

Vehicle-level battery labels paired with many charging records create a weakly supervised rare-event problem. We evaluated a two-level multiple-instance framework on 191 vehicles (184 normal and seven source-coded abnormal) from the public EVBattery...

The safety of lithium-ion batteries is a critical concern, and this paper introduces a novel simulation approach for thermal runaway using the control volume free element method (CVFrEM). This method uniquely integrates the geometric adaptability of...

Electric vehicles offer a sustainable alternative to combustion engines but still face range and safety limitations. Integrating battery cells as structural elements (Cell-to-X, CTX) is a promising route to address both, but requires cells that relia...

Against the backdrop of the energy crisis and environmental pollution, semi-solid lithium-ion batteries have been widely applied in energy storage and electric vehicles. Accurate joint estimation of state of charge (SOC) and state of energy (SOE) is...