Open research questions in Battery Modeling and Management
1,825 gap statements mined from Battery Modeling and Management papers in our 7.9M-paper local library, which holds 6,854 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.
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What the literature leaves open
Future research should focus on unified AI frameworks capable of simultaneously optimizing these interrelated objectives while considering energy efficiency, battery degradation, charging time, thermal safety, and driving performance. Future research should investigate cooperative optimization algorithms capable of sharing operational knowledge among entire electric vehicle fleets.
AI-Driven Hybrid Battery–Supercapacitor Systems for Electric Vehicles: Performance Analysis and Opportunities · 2026 · DOIThis work investigated the impact of SoC estimation uncertainty on downstream SoH classification within a cascaded battery-management framework. The results show that accurate SoC estimation does not necessarily translate into equivalent SoH classification performance when the estimated state is subsequently used by a downstream diagnostic model.
Experimental Evaluation of a Cascaded SoC–SoH Deep Learning Framework for Lithium-Ion Battery Management Systems · 2026 · DOINevertheless, CS2_35–CS2_38 belong to the same test group under consistent cycling conditions, and cross-temperature generalization has not yet been evaluated.
Interpretable Multi-Feature Fusion for Lithium-Ion Battery State-of-Health Prediction Using ICEEMDAN-Autoformer-BiTCN · 2026 · DOIThis study addresses the challenge of accurate SOC estimation for lithium-ion batteries in low-temperature environments by applying a hybrid CNN-Bi-LSTM-AM model. By effectively extracting local features under noisy conditions, capturing bidirectional temporal dependencies, and dynamically focusing on critical time steps, the model significantly improves the accuracy of SOC estimation in low-temperature operation.
State-of-Charge Estimation of Lithium-Ion Batteries Based on the CNN-Bi-LSTM-AM Model Under Low-Temperature Environments · 2026 · DOIExisting methods do not effectively capture both local characteristics and long-term degradation trends. There is a need for a model that can capture complex internal aging mechanisms and replace the reliance on direct capacity measurements.
An improved CNN-transformer for lithium-ion battery capacity prediction with multi-source indirect health indicators · 2026 · DOIThe gap is that traditional approaches rely on theoretical assumptions rather than real observations. These approaches underperform when assumptions deviate from actual situations. The gap is that there is a need for a method that can extract information from functional features.
A functional support vector regression for predicting the operating life of lithium batteries · 2026 · DOIEnhanced fault detection in lithium-ion battery energy storage systems via transfer learning-based conditional GAN under limited data.
Thermal Runaway in Lithium-Ion Batteries: A Review of Mechanisms, Prediction Approaches, and Mitigation Strategies · 2026 · DOIFuture work will explore quantization techniques and hardware acceleration to further enhance real-time performance while maintaining estimation accuracy. Roofline analysis reveals that all models operate in the compute-bound region on the target microcontroller (SPC58NN84C3RMHBR), with performance limited by the 0.
Online Estimation of Lithium-Ion Battery State of Charge Using Multilayer Perceptron Applied to an Instrumented Robot · 2026 · DOIIn summary, future work could incorporate additional practical factors, such as battery aging and temperature, into SOC estimation to further enhance the algorithm’s adaptability over the entire battery lifecycle.
State of Charge Estimation Method for Lithium-Ion Batteries Based on Online Parameter Identification and QPSO-AUKF · 2026 · DOIBuilding on the findings presented here, future work could investigate more complex geometric configurations, which may provide valuable insights for further optimization and enhancement of air-cooled BTMS. For instance, the shapes of the wall surfaces are not explored in greater detail.
Numerical Simulation and Optimization of a Novel Battery Box Wall and Contour-Finned Structure in Air-Cooled Battery Thermal Management Systems · 2026 · DOISecond, a lower-dimensional input can simplify the mapping to be learned by the model and reduce the chance that the optimization process becomes overly sensitive to redundant variation, which is especially beneficial when the dataset remains limited to a small number of full-life battery trajectories.
Adaptive Hyperparameter-Tuned Transformer–LSTM for Lithium-Ion Battery State-of-Health Prediction · 2026 · DOIFuture research could explore more in-depth variable coupling modeling approaches or develop a more complex, continuous nonlinear model structure capable of uniformly handling all operating conditions without the need for discrete zone boundaries.
Cross-Condition Lithium-Ion Battery Capacity Multi-Variable Estimation Model Based on Incremental Capacity Curve Features · 2026 · DOIFuture research could explore more types of compartment design methods, as this enhanced design could improve LN fire suppression performance in engineering applications.
Improving the Effective Utilization of Liquid Nitrogen for Suppressing Thermal Runaway in Lithium-Ion Battery Packs · 2026 · DOIFuture work could explore the electrochemical basis for this compatibility and investigate whether chemistry-specific refinements could improve classification accuracy. Broader validation is currently limited by the scarcity of publicly available long-cycled second-life datasets.
A Methodological Framework for Incremental Capacity-Based Feature Engineering and Unsupervised Learning Across First-Life and Second-Life Battery Datasets · 2026 · DOIFuture research will focus on applications of additive manufacturing technology in realizing complex channel structures, performance evaluation under extreme environmental conditions, and integrated optimization with intelligent control strategies to promote biomimetic thermal management technology toward industrialized applications.
Multi-Objective Optimization of Thermal and Mechanical Performance of Prismatic Aluminum Shell Lithium Battery Module with Integrated Biomimetic Liquid Cooling Plate · 2026 · DOIFuture research could explore further structural enhancements to INRBO, advanced feature fusion strategies, extension to dynamic cycling protocols, benchmarking on BatteryML, inter-cell learning akin to BatLiNet, and systematic investigation of the proposed thermal features under fluctuating ambient temperatures.
State-of-Health and Remaining-Useful-Life Estimation of Lithium-Ion Batteries Using Axial-Embedding Transformer–Bidirectional Long Short-Term Memory Optimized by an Improved Newton–Raphson-Based Optimizer · 2026 · DOIThird, multimodal fusion provides consistent gains across all data scales, with the largest improvements in medium-data regimes where discharge curve data alone is insufficient, and meaningful gains even in small-data regimes where the alignment mechanism effectively leverages sparse impedance information.
Multimodal State of Health Prediction for Lithium-Ion Batteries via Mamba-Based Fusion of Discharge Curves and Impedance Spectra · 2026 · DOIOnce aged cells are considered, however, the main challenge is no longer only whether a reported trigger occurs at smaller or larger intrusion.
Mechanical Intrusion of Aged Lithium-Ion Batteries: Boundary-Condition Continuity, Trigger Definitions, and the Limits of Cross-Study Comparability · 2026 · DOIIn future, this study can be enhanced by utilizing a larger and more diverse set of batteries, incorporating information on the operational and environmental conditions, including temperature and load conditions, to improve prediction accuracy in real-world applications.
Lithium-ion batteries based on LFP chemistry dominate current grid deployments and will continue to do so through the remainder of the 2020s by virtue of established manufacturing, favorable cycle life, and improving cost structure, but are structurally limited to approximately four hours of storage duration and face lithium supply-chain concentration and safety management requirements that increase system cost.
Rechargeable Batteries for Grid-Scale Energy Storage: Technologies, Performance, and Emerging Directions · 2026 · DOIHandling real-world operating conditions of electric vehicles. Incorporating variable operating parameters into the remaining useful life estimation and health monitoring approach. Achieving robustness and accuracy in the presence of physically inconsistent predictions.
SSA(BBO)-optimized neural networks for remaining useful life estimation and health monitoring of lithium-ion batteries · 2026 · DOIInvestigating the application of the improved CNN-transformer model to other types of batteries, - Exploring the use of other machine learning models for battery capacity prediction, - Analyzing the impact of different hyperparameter configurations on the model's performance, - Evaluating the model's performance on larger and more diverse…
An improved CNN-transformer for lithium-ion battery capacity prediction with multi-source indirect health indicators · 2026 · DOIFurther development of the FSVR algorithm and CEEMDAN-FSVR-LR framework, - Application of the proposed methods to other areas with functional data, - Investigation of the effectiveness of the proposed methods in larger sample…
A functional support vector regression for predicting the operating life of lithium batteries · 2026 · DOILack of fine-grained taxonomy of neural architectures: architectures are grouped broadly (CNN/RNN) without distinguishing Transformers, attention mechanisms, hybrid or emerging models Limited emphasis on learning strategies such as robustness, test-time adaptation, uncertainty quantification, adversarial defense, or efficiency-aware design Physics-informed and hybrid learning are mentioned only at a high level…
Neural Architectures and Learning Strategies for State-of-Health Estimation of Lithium-Ion Batteries: A Critical Review · 2026 · DOIThe limitations of this study stem from assumptions such as equidistant and aligned cell arrangements, a constant low charge/discharge rate (1C), restricted spacing ranges (1–3 mm), fixed battery-pack geometry, and reliance on CFD-generated data.
AI-Driven Thermal Management Optimization for Lithium-Ion Battery Packs: A Surrogate Model Approach to Cell Spacing Design · 2026 · DOI
Most-cited papers in Battery Modeling and Management
- Issues and challenges facing rechargeable lithium batteries · Nature · 2001 · 20,261 citations
- Recycling lithium-ion batteries from electric vehicles · Nature · 2019 · 3,683 citations
- A review of lithium-ion battery safety concerns: The issues, strategies, and testing standards · Journal of Energy Chemistry · 2020 · 2,188 citations
- Mitigating Thermal Runaway of Lithium-Ion Batteries · Joule · 2020 · 1,752 citations
- Challenges in speeding up solid-state battery development · Nature Energy · 2023 · 1,629 citations
- A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems · Renewable and Sustainable Energy Reviews · 2020 · 1,343 citations
- Battery Lifetime Prognostics · Joule · 2020 · 1,299 citations
- A Review on Electric Vehicles: Technologies and Challenges · Smart Cities · 2021 · 1,260 citations
- Modeling and Applications of Electrochemical Impedance Spectroscopy (EIS) for Lithium-ion Batteries · Journal of Electrochemical Science and Technology · 2020 · 1,231 citations
- Closed-loop optimization of fast-charging protocols for batteries with machine learning · Nature · 2020 · 1,169 citations
Most recent work
- Thermal management performance enhancement of cylindrical power battery modules via cooling strips with reflux microchannel structure · Energy · 2026
- Enhanced robustness of lithium-ion battery equivalent circuit parameter identification via logarithmic transformation and Levenberg-Marquardt algorithm · Journal of Energy Storage · 2026
- Thermal management of lithium-ion batteries: from single cooling to hybrid cooling · RSC Advances · 2026
- Solvation-configurational entropy governs interfacial kinetics in low-temperature batteries · Joule · 2026
- Anisotropic thermal conductivity quantification in prismatic lithium-ion batteries · Journal of Energy Storage · 2026
- A multidimensional-coupled signal approach for early warning and fire characteristics of overcharge-induced thermal runaway in LiFePO4 prismatic batteries · Applied Thermal Engineering · 2026
- Thermal runaway propagation suppression efficacy of various thermal insulation materials towards large-capacity battery: Performance evaluation and mechanism investigation · Applied Thermal Engineering · 2026
- Thermal Runaway in Lithium-Ion Batteries: A Review of Mechanisms, Prediction Approaches, and Mitigation Strategies · Batteries · 2026
- Review on improved neural network algorithms for battery state of energy estimation in smart grids · Renewable and Sustainable Energy Reviews · 2026
- Thermal performance enhancement of blade battery packs via multi-branch-converging channel design · International Journal of Heat and Mass Transfer · 2026
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