Tuesday, November 11, 2025

 

How to simultaneously improve the energy density and cycle life of sulfur-based lithium-ion batteries



Anion-mediated electrolyte engineering and N/P design



Science China Press

Sulfur-based lithium-ion batteries with N/P ratio of 0.6 

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Through the design of anion-mediated electrolyte engineering, the energy density of the SPAN||Gr battery with an ultralow N/P ratio (N/P=0.6) was increased and its cycling stability remained excellent.

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Credit: ©Science China Press





Construction of SPAN||Gr Battery of 1. N/P=0.6

It has been found that reducing the N/P ratio of SPAN||Gr cells may offer great potential for increasing energy density. Compared with the traditional LIBs, the SPAN||Gr pouch cell shows a significantly different mass ratio: Gr anode dominates (40%), surpassing the SPAN cathode and Electrolytes. This reversal stems from SPAN's higher specific capacity than Gr, and Gr quality needs to be improved to match the capacity. This phenomenon is likely to be prevalent in most high-capacity sulfur-based lithium-ion batteries. When the N/P ratio is 0.6, the SPAN mass exceeds Gr.

To realize the release of the energy density potential of the SPAN||Gr battery system, researchers designed and constructed a SPAN||Gr battery system with an N/P ratio of 0.6. By using a simple in-situ pre-lithionization method, ultra-thin lithium foils were attached to the surface of the SPAN node during battery assembly and spontaneously lithiated after the addition of Electrolytes. To ensure that the battery has sufficient lithium, the electrodes are preliminized using 20 μm ultrathin lithium foil.

 

Battery Electrolytes Adaptability of the 2. N/P<1.0

The choice of electrolyte is crucial for this sulfur-based battery in which lithium metal and Gr are used together. The LS electrolyte has a shuttle effect of polysulfides, and the battery has a charging abnormality during the charging process, whereas the LB is an ester electrolyte and is not compatible with the lithium metal. Therefore, the capacity retention rate is only 50% after 170 cycles.

The anion-mediated electrolyte LH designed by them is enriched with anions (mainly FSI anions) in its solvated structure, which facilitates the construction of stable SEI/CEI and inhibits the decomposition of polysulfides, thus ensuring the cycle stability of the cell. Consistent with N/P=1.1. The button battery retains 90% capacity after 250 cycles.

 

Interfacial and Electrochemical Kinetics of 3. N/P=0.6 SPAN||Gr Cells

When the concentration of anions in the electrolyte is higher, it is more favorable for the decomposition of anions to form SEI/CEI, and the SEI/CEI is mainly composed of inorganic components.The by-product LixPOyFz was detected in the Gr anode. Whereas no such by-product was found in the LH electrolyte, on the contrary, a higher content of LiF was detected. As an inorganic component, LiF has high stability and excellent electrochemical kinetics. For SPAN cathode, by-products were also detected in the LB electrolyte and the LiF content was low, whereas no by-products were detected in the Anode of the LH electrolyte and LiF was the main component.

The electrochemical dynamic characteristics of the cells can be compared by in situ EIS tests. The impedance changes of various electrochemical processes of the cell can be determined by detailed distribution analysis of relaxation time (DRT). It can be found that the RSEI of the cells circulating in LH is generally smaller than the RSEI of the cells in LB, which also validates the results of the interface detection. It is worth noting that in such a sulfur-based battery system with an ultra-low N/P ratio (N/P=0.6 ), the Rct exhibits significant fluctuations due to both Li+ intercalation and lithium deposition processes involved on the Gr anode. Both LB and LH electrolytes show a decreasing trend in Rct during battery charging from 0% SOC to about 60% SOC. This decrease is mainly due to two factors: On the one hand, the continuous embedding of Li+ in the Gr helps to reduce the Rct ; on the other hand, the Li2S with poor conductivity in the SPAN node gradually changes to the Li2S4 with more favorable dynamics. The synergistic effect of these two phenomena leads to a decrease in Rct. Conversely, when the battery is charged from 60% SOC to about 100% SOC, the anode materials transition to a less conductive S8, although the continued lithium deposition on the Gr still tends to lower the Rct. In this case, the change of the Rct node becomes the key factor that dominates the change of the Li+ node, leading to the increase of the value of the Li+ node. This phenomenon of Rct falling first and then rising with the increase of SOC is a typical characteristic of sulfur-based lithium-ion batteries. By comparing the Rct values of LH and LB systems, it is found that the Rct values of LH system are lower than those of LB system. This phenomenon may be attributed to the anion-enriched solvation structure in LH, which effectively lowers the desolvation barrier of Li+ and makes Li+ more easily desolvated, thus reducing Rct.

 

Deposition behavior of lithium on graphite

During the charging process, the deposition behavior of lithium at the negative position was significantly different among different electrolytes. In a conventional electrolyte (LB), lithium deposition presents a loose porous, non-uniform, and non-dense structure; In the local high concentration electrolyte (LH), the lithium deposition showed a compact and smooth morphology.

When charged to 100% SOC, the lithium deposition in the LB system showed a porous and non-uniform structure. The LH system forms a smooth and dense sedimentary layer. This flat lithium deposition can effectively guarantee the battery cycle life. Secondary electron images of G cross-sectional topography at 100% SOC in LH showed that lithium was uniformly deposited on Gr.

 

Battery performance under different cycle conditions

Different cycle conditions have a significant impact on battery performance. The capacity retention rate of the SPAN||Gr battery with N/P=0.6 is respectively 98% after one month of standing in the 100% SOC state. The results show that when lithium metal (100% SOC) is precipitated from the battery, self-discharge occurs to a certain extent, which may be caused by interface side reactions, but the self-discharge rate is low overall. (Capacity retention can be restored to more than 99% after cycling). This phenomenon indicates that the LH electrolyte has good compatibility with the battery system and does not cause a continuous and large number of side reactions during the standing process. Although the diffusion impedance of LH electrolyte is higher than that of LB system, its excellent interfacial dynamics ensures the stability of electrochemical performance.

Based on the N/P ratio of 0.6 of the battery system, it is an effective strategy to improve the cycle stability by controlling the DOD at 60% to avoid the deposition of lithium metal. This feature makes the battery system an ideal candidate for energy storage batteries with lithium pre-charged capabilities. The results show that the capacity decay of SPAN||Gr batteries is mainly due to the loss of active lithium. Therefore, supplementing with additional lithium in advance helps to extend the cycle life. The method of controlling the charge capacity to 60% of the initial capacity is adopted in this study. After 500 cycles switching to 100% DOD charge and discharge, the capacity retention rate can still reach 93% of the initial capacity. Low current charge/high current discharge strategy can effectively inhibit the growth of lithium dendrites. While this low-current charging strategy does not significantly improve cycle stability, the cells in the LH electrolyte system still maintain relatively stable cycle performance, which may be due to capacity attenuation due to SEI/CEI thickening.

 

SPAN||Gr Soft Pack Battery for 6. N/P=0.6

Pouch cell testing is a key means to evaluate the potential of batteries in practical applications. In this study, SPAN||Gr pouch cells with N/P ratio of 0.6 were prepared for systematic evaluation. First, a single-layer laminated soft-pack battery was assembled for testing. The results showed that, while the cell cycle capacity in the LB electrolyte decayed rapidly, the LH electrolyte system maintained 92% capacity retention after 300 cycles. When the electrolyte usage (E/C ratio) was 3.0 g Ah−1, the capacity retention rate of the 1.0 Ah flexible pack battery was still 90% after 100 cycles in LH.

In this ultra-low N/P ratio battery system using both lithium metal and graphite as anode, the volume variation of the battery system is significantly different from that of the battery using lithium metal or graphite as anode alone. This study also tried to control the E/C ratio. When the E/C ratio was 2.0 g Ah−1, the 2.0 Ah pouch cell was also able to perform stable cycle, and its energy density was increased by 24% compared with that of N/P=1.1.

 

Scientists unveil digital twin tech to slash power losses in energy storage systems




University of Sharjah
CAES components 

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Components of a CAES system and location of the parameters monitored.

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Credit: Energy (2025). DOI: https://doi.org/10.1016/j.energy.2025.138401




Scientists at the University of Sharjah have developed an advanced digital twin technology designed to replicate renewable energy stored in tanks, substantially improving their efficiency and reliability. The team presents the details of their invention, called a data-driven digital twin, in a paper published in the journal Energy.

“Our study presents a data-driven digital twin — a virtual replica of a real physical system — designed for Compressed Air Energy Storage (CAES) systems,” said lead author Concetta Semeraro, Assistant Professor in the university’s Department of Industrial and Management Engineering. “The digital simulation model uses sensors, statistical analysis, and machine learning (specifically, Relational Concept Analysis) to detect early signs of faults before they become serious.”

CAES systems offer a sustainable solution for storing surplus renewable energy by compressing air into tanks and later releasing it to generate power on demand. However, their performance can be compromised by issues such as air leaks, mechanical friction, or generator overloads, reducing efficiency and reliability.

“This work presents the experimental implementation of a digital twin for a CAES system, utilizing a designed sensing system with sensors (positioned) to detect faults by gathering system readings under various conditions,” the authors write.

“Through the invariant patterns developed for the CAES system, it was possible to build a digital twin to predict the three possible system faults: Leak fault (F1), Coupling Fault (F2), and Load Fault (F3). Furthermore, this paper successfully identified parameters that could predict and discern the system's health status (HS).”

The authors’ virtual model identifies operational data patterns — such as temperature, pressure, and voltage — and stores them in a pattern library. “These patterns form a modular, reusable architecture, meaning that once a pattern is recognized and catalogued, it can be applied or extended to other systems with minimal redesign,” explained Dr. Semeraro.

The study shows that the “versatility of the digital twin's approach suggests its potential application to address various challenges encountered in CAES systems, and the methodology employed holds promise for adaptation to other systems.”

They further point out that their “paper contributes to the proposed methodology of utilizing the modeling patterns concept,” by introducing “additional patterns to contribute to the existing digital twin pattern library.”

The researchers report that their newly designed digital twin can continuously mirror the CAES system in real time. Their virtual model, they maintain, is equipped with Arduino-based sensors and has been experimentally validated to ensure accuracy and reliability.

A key takeaway from the study is how the digital twin acts like a smart mirror of its physical energy doppelganger, with the ability to predict potential issues before they happen and constantly monitor the system to detect anomalies in real time.

Another key insight is that the digital twin can function effectively without recourse to big data or expensive computing. Instead, it leverages unsupervised machine learning, meaning it can identify patterns from pre-labelled data, which Dr. Semeraro describes as “a major advantage in industrial environments.”

The scientists affirm that they built and tested a fully operational CAES system to demonstrate that their digital twin can detect leaks and faults in real time. “By preventing failures and optimizing operations, this digital twin helps reduce maintenance costs and increase renewable energy reliability,” emphasized the lead author.

The authors highlight numerous practical implications and real-world applications of their digital twin, noting its potential to significantly enhance energy system performance. By enabling early detection of leaks and mechanical issues, the model helps minimize downtime and prevent costly energy losses.

By applying smart maintenance principles, operators can receive alerts as soon as the system exhibits abnormal behavior, enabling predictive maintenance rather than reactive repairs.

“The system’s architecture is built around modular design patterns — reusable software and data components that can be easily reconfigured or expanded for new systems,” Dr. Semeraro said. “This ensures that improvements in one energy application can be directly transferred to others, dramatically reducing development time and cost.”

 

The design is modular and reusable, offering system-wide scalability with the possibility of applying the same architecture to other energy systems, such as batteries, turbines, or hydrogen storage units, with minimal recalibration, according to the authors.

“The proposed digital twin methodology integrates real-time data acquisition, data-driven modeling techniques, and patterns library formalization to improve Digital Twin design and identify potential failures,” the authors note.

The methodology offers a holistic approach combining unsupervised machine learning algorithms with a structured pattern library to enhance the digital twin’s design and adaptability, emphasized Dr. Semeraro.

“Through the invariant patterns developed for the CAES system, it was possible to build a digital twin to predict three possible system faults — leak, coupling, and load faults. The versatility of the digital twin’s approach suggests its potential application to other systems and industries.”

  

The general architecture of a digital twin on a CAES system.

Credit

Energy (2025). DOI: https://doi.org/10.1016/j.energy.2025.138401

 

As in cacti: CAM photosynthesis discovered in carnivorous plants



Staatliche Naturwissenschaftliche Sammlungen Bayerns
Insect trap and water storage 

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Insect trap and water storage - the succulent leaves of Pinguicula esseriana from Mexico.

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Credit: Andreas Fleischmann, SNSB





Most carnivorous plants colonize wet, nutrient-poor habitats such as bogs or swamps. One of the few exceptions is the genus Pinguicula, known as butterworts: more than half of the approximately 110 species of butterwort known worldwide originate from the mountainous regions of subtropical Mexico. There, these small carnivorous plants thrive on rocky soils that are very dry for at least half of the year. Some of these species share their habitats with other typical “desert plants” such as cacti, agaves, and hechtias. Butterworts have so-called sticky traps, i.e., their leaves are covered with small glandular hairs that secrete sticky, glistening drops of a water-based trapping mucus.

Until now, it was unknown how the plants compensate for the lack of water in their dry habitats and still have enough water left to produce the sticky mucilage. A team of researchers from the Botanische Staatssammlung München (Bavarian State Collection for Botany) and the Botanical Garden Munich-Nymphenburg, which are part of the Bavarian State Collections of Natural History (SNSB), and LMU Munich has now investigated this in several Mexican succulent species cultivated in the greenhouses of the Botanical Garden. The experiments were conducted by Joris Fleck as part of his master's degree at LMU Munich. He transferred the plants from their “comfort zone” in the greenhouse to climate chambers in which the growing conditions of Mexico's dry season were simulated. The photosynthesis of the plants under heat and drought stress was examined. The result was surprising: Butterworts apparently adapt their metabolism to drought. They switch to what is known as CAM photosynthesis (CAM = Crassulacean Acid Metabolism), which is familiar from many drought-tolerant, succulent plants. In these plants, the stomata of the leaves remain closed during the day, so that CO2 can not be absorbed for photosynthesis, but the plants also do not lose water through evaporation during the hot, dry daytime. The stomata open only at night and the plant “breathes” in CO2, which is stored. During the day, the plant draws on this carbon reserve from the night.

“We did not expect these results. We were not previously aware of the CAM photosynthesis pathway in carnivorous plants, not even among any close allies of the family Lentibulariaceae, to which butterworts belong,” says study leader Professor Gudrun Kadereit, director of the Bavarian State Collection for Botany, the Botanical Garden Munich and chair of systematic botany at LMU Munich. “This brings the number of plant families in which CAM photosynthesis has evolved independently to 39.”

In view of climate change, the genus Pinguicula could be an interesting study group for further research. These carnivorous plants have evolved from moisture-loving marsh plants to drought-tolerant species. “So far, we have only been able to detect CAM photosynthesis in butterwort species from the evolutionarily young Mexican lineages of Pinguicula sections Agnata and Orcheosanthus, but not in any other species within the genus,” reports carnivorous plant expert Dr. Andreas Fleischmann from the Bavarian State Collection for Botany in Munich. “The butterwort species found in European Alps on moist soils and in calcareous fens show no signs of this specialized photosynthesis pathway in our studies.”

The current research results demonstrate the scientific importance of living collections in botanical gardens, as this study would not have been possible without the rich collection of cultivated carnivorous plants in the Munich-Nymphenburg Botanical Garden.

Pinguicula agnata often grows with succulents such as cacti and agaves in Mexico.

Credit

Fernando Rivadavia



The mexican Pinguicula rotundiflora can be grown without any water supply in winter, it even flowers during this dry season. Shown here plants grown luthophytically on tufa rock.

Credit

Andreas Fleischmann, SNSB



Some mexican butterwort species even carry succulenz in their name: Pinguicula crassifolia, the thick-leaved butterwort.

Credit

Andreas Fleischmann, SNSB