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Earlier sources: Battery Storage

This energy thread follows battery storage through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.

SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.

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141 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.

Earlier sources

Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.

  1. OpenAlex · Published · First archived

    Multi-objective optimization design of a thermal management system for large-capacity energy storage batteries coupling liquid cooling, phase change material and bio-inspired fins ↗

    With the increasing deployment of large-capacity energy-storage batteries, improving the thermal performance of their thermal management systems has become increasingly important. However, a single cooling method struggles to meet the stringent requirements of these systems. In this study, a 280 Ah large-capacity energy storage battery is selected as the research object to construct a hybrid thermal management system that couples liquid cooling, phase change material (PCM), and bio-inspired fins. In addition, a multi-objective optimization framework is developed to optimize the thermal perform…

  2. OpenAlex · Published · First archived

    A Comparative Study of Deep Time-Series Models for Lithium-Ion Battery State-of-Health Prediction ↗

    Model rankings in battery SOH prediction can change with the input representation and battery split. This study therefore evaluated five deep time-series models—Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), PatchTST, TimesNet, and ModernTCN—on the NASA battery aging dataset under chronological and cross-battery protocols using the same input pipeline. The chronological protocol predicts later cycles of B0005, B0006, and B0007, whereas the cross-battery protocol trains on these three batteries and evaluates on the unseen B0018 battery. All models use the same 20-cycle input window…

  3. OpenAlex · Published · First archived

    Joint design of cell layout and balancing circuit for uniform aging in unmanned aerial vehicle battery packs ↗

    In a compact unmanned-aerial-vehicle (UAV) battery pack, the interior cells become hotter than the perimeter cells and therefore age faster. A series string is limited by its weakest cell, and this aging non-uniformity is fixed once the hardware is built. The module layout and the active-balancing circuit are usually selected separately, so this effect remains outside the design loop. In this work, we treat the layout, the balancing-topology family, and the conductor sizing as joint pre-fabrication variables, enumerate the small admissible design space, and score every candidate by a coupled e…

  4. OpenAlex · Published · First archived

    Neural surrogate-based model predictive control for compressed air energy storage ↗

    Compressed air energy storage is a promising technology for large-scale, long-duration energy storage in renewable-integrated power systems. However, accurate modeling and control of compressed air energy storage under realistic operating conditions remain challenging due to the tightly coupled thermodynamic processes involving multi-stage compression, heat exchange, cavern storage, and expansion, all of which interact under off-design conditions. This thesis develops a learning-based framework for the modeling and control of adiabatic compressed air energy storage systems under off-design ope…

  5. OpenAlex · Published · First archived

    Accurately modeling long-term storage with minimum representative hours in large-scale renewable energy systems ↗

    Energy system optimization often relies on time series aggregation to ensure computational tractability. Aggregation generally loses the chronology of time steps, which renders the storage level representation challenging. Typically, this challenge is addressed by using representative days (RD) to utilize intra-day chronology, even though representative hours (RH) can describe the input time series more accurately at fewer representative time steps than RD. However, until now, the use of RH storage representation methods has been limited by either high computational complexity, poor accuracy i…

  6. GitHub · Repository created · First archived

    MidZai/aman_check ↗

    Dated, honest condition report for a used Mac: locks, battery, SSD, configuration and guided hardware tests. Native macOS app, nothing leaves your Mac.

  7. OpenAlex · Published · First archived

    A Comprehensive Review of Power System Frequency Regulation Supported by Wind and Energy Storage Systems: State-of-the-Art Methods ↗

    With the increasing penetration of wind power in modern low-inertia power systems, frequency regulation (FR) faces significant challenges, primarily due to rapid frequency dynamics and stochastic power fluctuations. Energy storage systems (ESSs) can provide fast-responding bidirectional power support as well as virtual inertia, playing a critical role in enhancing system frequency stability. However, existing reviews provide limited systematic analysis linking model fidelity and operating constraints to the reported performance and applicability of wind–storage FR strategies. To address this g…

  8. OpenAlex · Published · First archived

    Two-stage cGAN-ridge surrogate for battery cold plate topology design ↗

    Topology optimisation of liquid-cooled battery cold plates requires repeated computational-fluid-dynamics (CFD) solutions. This cost limits design-space exploration. This study develops a two-stage surrogate for candidate generation and screening. Stage 1 uses a FiLM-conditioned conditional generative adversarial network to generate topology, temperature, and pressure fields from operating conditions. It produces 256 × 256 fields in about 35 ms. On 71 holdout cases, it gives a topology IoU of 0.704 and a temperature SSIM of 0.692. The outlet mean temperature exceeds the inlet mean temperature…

  9. OpenAlex · Published · First archived

    Longitudinal proxy pack benchmark generation for remaining useful life assessment of light electric vehicle battery packs in swapping systems ↗

    Abstract Battery swapping enables rapid energy replenishment for light electric vehicles (LEVs), but high-turnover pack circulation requires reliable pack-level health and remaining useful life ( RUL ) assessment. Publicly reusable longitudinal ageing datasets for complete LEV packs remain scarce. We develop a proxy-pack data-generation and learning framework that organizes independently tested cell-ageing records into fixed-member trajectories representing a 48 V-class 16-series configuration. Each trajectory retains 16 physical-cell identities over their common-cycle sequence. Cycle-level me…

  10. OpenAlex · Published · First archived

    Development and Preliminary Evaluation of an Electric Kick-Scooter Platform with BLDC Drive Control, Battery Voltage–Current Logging, and Rider-Mass-Based Theoretical Range Estimation ↗

    Electric kick scooters are becoming popular for short-distance applications on campuses, in industrial facilities and in gated communities, but their electrical demand and integrated low-cost operational functions are not fully addressed. A 350 W brushless direct-current hub motor, a 36 V, 4.4 Ah lithium-ion battery pack and a Hall-sensor-based controller with 120° six-step trapezoidal commutation were developed. A battery voltage–current data logger, a preliminary rider-mass-based theoretical range-estimation approach and a mobile application prototype were also developed. The gate states and…

Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.

How to assess evidence about Battery Storage

Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.

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