This technology is a zinc-bromine battery structure that suppresses self-discharge by physically blocking bromine ion crossover using a non-porous barrier placed between horizontally aligned anode and cathode electrodes.
Conventional vertical cell structures suffer from crossover between electrodes caused by the diffusion of bromine ions and the detachment of zinc metal deposits. This leads to self-discharge and degraded battery performance.
This technology features a horizontal arrangement of the anode and cathode with a non-porous film barrier—taller than the thickness and width of the electrodes—placed between them to control ion migration paths. Additionally, a conductive adhesive is applied to the electrode surfaces to reduce resistance and improve contact. This system is ideal for solar and wind-integrated ESS and emergency power supplies for buildings where fire safety is a priority, enabling the construction of aqueous storage systems with minimal energy loss during long-term standby.
This technology provides a cell structure for measuring battery samples in a sealed environment. It features a tightly coupled upper and lower cell structure, a sealant to prevent electrolyte leakage, a spring and moving screw for pressure control, and temperature and pressure sensors to precisely evaluate sample characteristics.
Conventional measurement devices have open cells, making it difficult to use volatile electrolytes. Furthermore, when measuring at the particle level, limitations such as poor contact between the sample and current collector, instability due to vibration, and external environmental interference have historically reduced measurement accuracy.
This technology forms protrusions and depressions where the upper and lower cells meet and applies a sealant to completely seal the sample. It is configured to finely adjust the contact pressure between the current collector and the sample using fixing screws, moving screws, and springs. Temperature and pressure sensors collect real-time data to enhance the accuracy of electrochemical evaluations. It can be applied to the analysis of pressure-dependent characteristics of single active material particles, the evaluation of volatile organic electrolyte cell behavior by temperature, and quality verification equipment for material companies, enabling the acquisition of highly reproducible electrochemical data under controlled mechanical and thermal conditions.
This technology models battery depreciation by calculating the Average Wear Cost (AWC) from Accumulated Cycle Count (ACC) data and applying second-order polynomial curve fitting to derive a depreciation density function that varies according to the State of Charge (SoC).
Previously, power functions were used to fit cycle life data, but significant discrepancies with actual measurements led to overfitting. This error hindered the accurate calculation of battery operating costs and the development of effective charge/discharge schedules.
Instead of fitting the cycle life function directly, this technology calculates the AWC based on total usage per Depth of Discharge (DoD) and battery price, then applies second-order polynomial curve fitting to minimize errors. The resulting SoC-based depreciation density function is then integrated into power grid frequency regulation control. This enables highly profitable operational strategies that account for battery degradation costs, applicable to grid-scale ESS operations, frequency regulation ancillary service bidding, and EV V2G scheduling.
This technology is a composite structure for lithium-sulfur batteries that physically deposits metal oxide onto only one hemisphere of spherical carbon nanotube (CNT) aggregates, simultaneously securing the chemical adsorption properties of the metal oxide and ion conductivity through the exposed carbon nanotube pores.
Existing cathode materials for lithium-sulfur batteries involve coating the entire surface of carbon nanotubes with metal oxide, which increases electrode resistance, thereby lowering ion conductivity and degrading rate capability.
In this technology, spherical carbon nanotubes produced by spray drying are placed in a thermal vacuum evaporator, and metal oxides such as molybdenum oxide are coated from only one direction. This configuration allows the oxide side to capture lithium polysulfides while the exposed pores facilitate the rapid movement of ions and electrons. It can be applied to lithium-sulfur battery cathodes, sulfur host materials, and functional carbon electrodes that require high-rate charge and discharge, minimizing electrode resistance while maintaining polysulfide adsorption capacity.
This technology induces an electrochemical reduction of the LiTFSI electrolyte salt within a lithium-air battery to perform in-situ fluorine (F) doping and carboxyl group formation directly on the carbon paper cathode surface.
In conventional lithium-air batteries, discharge products like Li2O2 clog cathode pores, reducing discharge capacity and lowering charge-discharge efficiency due to high overpotential during charging. Furthermore, limitations in external oxygen supply and electron/ion transport have hindered the realization of high power and high capacity.
This technology involves assembling the cell and applying a 0.05 mA current for 8–10 hours in an inert atmosphere to reduce LiTFSI, thereby introducing fluorine and carboxyl groups to the carbon paper surface. This increases oxygen affinity, secures O2 diffusion pathways, and expands active sites for Li2O2 formation. Applicable to ultra-high energy density power sources for drones and long-range mobility, as well as next-generation metal-air battery cathodes, it enables cathode functionalization simply by applying current after cell assembly, eliminating the need for separate doping equipment.
This invention was developed with support from the Ministry of Education for the development of high-power lithium-air battery cathode materials.
This technology enables the synthesis of LLZO (Li7La3Zr2O12) solid electrolytes for lithium secondary batteries by adding 7.5 mol% Al2O3 to control reactivity within alumina crucibles, thereby suppressing impurity formation and ensuring a stable cubic crystal structure.
In conventional LLZO synthesis, the reaction between the alumina crucible and LLZO powder generates impurities, which reduces ionic conductivity. To avoid this, expensive platinum crucibles have traditionally been required, creating significant cost barriers.
This technology involves a two-stage heat treatment process: an initial calcination of the raw material mixture (with 7.5 mol% Al2O3) at 800–850°C, followed by grinding and a second heat treatment at 1000–1050°C. The added Al occupies vacancies in the LLZO crystal lattice to stabilize the cubic structure, allowing for the synthesis of high-purity solid electrolytes using standard alumina crucibles. Applicable to the mass production of oxide-based all-solid-state battery electrolyte powders and lithium metal anode protective coatings, this method eliminates reliance on precious metal crucibles and significantly reduces capital expenditure for firing equipment.
This invention was developed with support from the Ministry of Education's Core Research Support Center program.
This technology uses real-time battery operating data—such as voltage, current, temperature, and operating time—to first estimate the current State of Health (SOH), then selects the neural network model optimized for that SOH from a model bank to precisely estimate the State of Charge (SOC).
Conventional SOC/SOH estimation methods, such as Coulomb counting or simple Extended Kalman Filters (EKF), have struggled to flexibly account for characteristic changes caused by battery degradation. Furthermore, these methods often suffer from a sharp decline in accuracy under specific operating conditions.
This technology constructs a neural network model bank consisting of multiple pre-trained models (MNN or LSTM) categorized by health status—such as normal, caution, and fault—and dynamically selects and switches to the most suitable model based on the SOH estimation result to calculate the SOC. It can be applied to EV BMS, ESS using repurposed aging batteries, and online diagnostics for drone and robot battery packs, helping to reduce the widening gap in remaining capacity displays as batteries age and enabling more accurate determination of replacement timing.
This technology is an anode active material that forms a solid solution by substituting doping metals such as Cr, Mo, and W into the vanadium lattice sites of lithium vanadium oxide (Li3VO4). This reduces lithium-ion diffusion resistance within the crystal structure and improves the structural and volumetric instability that occurs during charging and discharging.
Conventional lithium vanadium oxide faces issues where repeated charging and discharging lead to crystal structure and volume changes due to lithium insertion and extraction, resulting in active material loss and decreased charging capacity. Furthermore, traditional solid-state synthesis methods make it difficult to uniformly control particle size and synthesize fine powders in large quantities.
This technology utilizes a solution precipitation method to synthesize a monoclinic (Pmn21 space group) single-phase solid solution with a composition of Li3V1-xMxO4 (0 < x ≤ 0.07), where M represents the doping metals (Cr, Mo, W). This ensures structural stability while enabling the mass production of fine, uniform particles. Applicable to high-power lithium-ion battery anodes and energy storage system cells, it suppresses capacity degradation over long-term cycles while reducing the cost burden of mass-producing the powder.
This technology utilizes tin or germanium salts represented by the chemical formula A2MF6 (where M is Sn or Ge) as electrolyte additives to form stable protective layers (CEI and SEI) on the surfaces of both the cathode and anode.
Conventional additives like VC and FEC improve high-temperature durability but significantly increase electrical resistance, which degrades battery power output. Furthermore, side reactions between the cathode material and the electrolyte lead to metal ion leaching and battery degradation.
This technology involves adding 0.01 to 1 wt% of A2SnF6 or A2GeF6 (where A is Na, K, NH4, etc.) relative to the total electrolyte volume to form protective layers on the cathode and anode surfaces. Optionally, A2SiF6 silicon salts can be added to create a synergistic effect. It can be applied to electric vehicle battery packs exposed to high summer temperatures, as well as cells for power tools and hybrid vehicles that require high output, extending high-temperature cycle life while avoiding power loss caused by increased resistance.
This technology utilizes a highly graphitic carbon structure—characterized by nitrogen doping, hierarchical micro-meso-macro porosity, and a concave dodecahedral shape—as a sulfur host to enhance sulfur loading efficiency and suppress the shuttle effect in lithium-sulfur batteries.
Lithium-sulfur batteries have historically faced challenges due to the low electrical conductivity of sulfur and the shuttle effect, where lithium polysulfides generated during sulfur reduction migrate between electrodes. These issues lead to reduced cycle life caused by electrode volume expansion and make it difficult to achieve the high sulfur loading required for commercial operation.
This technology employs metallothermic reduction using ZIF-8 metal-organic frameworks and a magnesium metal reducing agent, followed by acid etching, to produce a highly graphitic carbon structure with a specific surface area of 500–1000 m²/g and a mesopore volume fraction of over 50%. This structure stably anchors sulfur to mitigate electrode volume changes, while the doped nitrogen enhances affinity with polysulfides. Suitable for applications where weight is critical, such as cathodes for lithium-sulfur batteries in drones, high-altitude unmanned aerial vehicles, and electric aircraft, it minimizes polysulfide loss even at high loading levels of 5–15 mg/cm², enabling practical areal capacity.
This technology is a polymer solid electrolyte that improves the low ionic conductivity and electrochemical instability of conventional polymer electrolytes by incorporating imidazolium-based organic ionic plastic crystals (OIPC), which remain in a solid state at room temperature, into an ion-conductive polymer matrix.
Conventional polymer solid electrolytes have faced challenges in commercialization due to lower ionic conductivity and lithium-ion transference numbers compared to liquid or inorganic electrolytes. Furthermore, when used with lithium metal anodes, they suffer from dendrite growth, which reduces battery lifespan.
This technology involves creating an electrolyte by mixing an ion-conductive polymer, such as polyalkylene oxide, with organic ionic plastic crystals composed of imidazolium cations and halogen anions (Cl-, Br-, I-), along with a lithium salt. This achieves an ionic conductivity of 1.0x10^-3 S/cm or higher at room temperature and stabilizes the interface with the lithium metal anode. It can be applied to all-solid-state batteries using lithium metal anodes and power sources for wearable and flexible devices that are free from leakage risks, accelerating the design of polymer all-solid-state cells capable of operating at room temperature without the need for external heating.
This technology estimates a battery's current capacity and State of Health (SoH) without complex physical models by training machine learning algorithms—such as FNN, CNN, RNN, and LSTM—on time-series patterns derived from the three key data points measured during charging: voltage (V), current (I), and temperature (T).
Existing electrochemical or equivalent circuit models rely on complex equations, leading to high computational costs and significant hardware resource consumption. Furthermore, relying on only one or two indicators, such as voltage, often results in low accuracy when estimating battery degradation in real-world usage environments.
This technology creates a matrix-style training dataset by pairing capacity with time-series measurements of voltage, current, and temperature changes that occur during constant-current and constant-voltage charging cycles. By utilizing models like LSTM and GLU, it learns degradation patterns that account for irregular previous discharge histories. Applicable to EV BMS, energy storage system management, and residual value assessment of used batteries, it enables the determination of replacement timing and reuse potential using only charging data, without the need for separate diagnostic equipment.
This technology involves the synthesis of polyacrylamide-based anionic and cationic polymer binders via radical polymerization. These binders utilize Coulombic interactions (electrostatic attraction) and hydrogen bonding to suppress the swelling of high-capacity anode active materials, such as silicon, during charge and discharge cycles.
High-capacity anode materials like silicon can expand by up to 300% during charge and discharge, leading to mechanical degradation of the electrode and detachment of the active material. This process causes continuous electrolyte consumption and instability in the SEI layer, resulting in a rapid decline in battery capacity and lifespan.
The technology involves preparing anionic and cationic polymers by heating a mixture of an initiator, acrylamide, and sulfonic or ammonium monomers in a phosphate buffer solution under a nitrogen atmosphere. These two polymers are then blended to form a robust, reversible network of Coulombic interactions and hydrogen bonds. Applicable to silicon/silicon oxide composite anodes, high-capacity fast-charging cells, and aqueous electrode slurry processes, this binder absorbs volume expansion stress through its self-healing effect. Its simple synthesis process also facilitates easy transition to mass production.
This technology utilizes a mixture of the organophosphorus extractants Cyanex301 and TBP to selectively extract and separate copper ions from sulfuric acid leachate of spent lithium-ion batteries, while suppressing the extraction of other valuable metals like cobalt and nickel.
Because sulfuric acid leachate from spent lithium-ion batteries contains a mixture of copper, cobalt, and nickel, it has been technically difficult to separate and recover high-purity cobalt and nickel without first removing the copper. This has historically necessitated additional, complex purification processes.
This technology is designed to selectively extract copper by adding Cyanex301 and TBP to a leachate with a sulfuric acid concentration of 0.01–3.0M, while maintaining a larger aqueous phase volume than the organic phase. The extracted copper is stripped using nitric acid or aqua regia, and residual valuable metals are recovered from the remaining filtrate using D2EHPA. It serves as a copper-removal module that enhances the purity of downstream metals, making it ideal for the front-end of solvent extraction-based battery recycling lines and for the production of nickel and cobalt sulfates where copper impurity management is critical.
This technology is a hydrometallurgical leaching process that selectively dissolves and separates cobalt and nickel in stages by precisely controlling solution type, acid concentration, reaction temperature, and pulp density for metal mixtures obtained from heat-treated waste lithium-ion batteries.
Existing waste battery metal recovery processes require complex multi-stage treatments involving both pyrometallurgical and hydrometallurgical methods, leading to high recovery costs and significant environmental impact. Furthermore, low selective separation efficiency between metals has made it difficult to recover high-purity metals.
This technology is designed to preferentially leach cobalt at 45°C or lower in a first solution containing methanesulfonic acid and hydrogen peroxide, and then selectively dissolve nickel by immersing the remaining residue in a second solution based on sulfuric acid (with hydrogen peroxide if necessary). It can be applied to recycling waste batteries from small IT devices with high cobalt content and to converting copper residues into separate smelting raw materials, reducing the burden of subsequent purification by separating metal-specific solutions through a simple two-stage leaching process.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of 2,000-ton/year-scale high-temperature reduction smelting commercialization and concentration/separation technology for recovering valuable metals from medium-to-large waste lithium secondary batteries.
