Abstract: Disclosed are maleic anhydride-grafted cyclic olefin copolymers, methods for preparing maleic anhydride-grafted cyclic olefin copolymers, low temperature methods for laminating anodes comprising the maleic anhydride-grafted cyclic olefin copolymers, and anodes and alkali ion batteries that comprise the maleic anhydride-grafted cyclic olefin copolymers.

Abstract: Systems and methods are disclosed that provide for pyrolysis reactions to be performed at reduced temperatures that convert non-conductive precursor polymers to conductive carbon suitable for use in electrode materials, which may be incorporated into a cathode, an electrolyte, and an anode, where the pyrolysis method may include one or more catalysts or reactive reagents.

Abstract: Systems and methods for a battery electrode having a solvent level to facilitate peeling are disclosed. In examples, a battery may include one or more electrodes and an electrolyte. The electrodes include an electrode slurry layer with a solvent. The electrode slurry is coated on a substrate, where the electrode slurry and substrate produce an active material with a residual amount of solvent in response to a heat-treatment, and where the active material comprises 10% to 25% residual solvent by weight following the heat-treatment. The amount of residual solvent facilitates peeling of the active material from the substrate, which, once pyrolyzed, may be used to create a multi-layer film with the current collector film and the active material.

Abstract: Systems and methods for configuring anisotropic expansion of silicon-dominant anodes using particle size may include a cathode, an electrolyte, and an anode, where the anode may include a current collector and an active material on the current collector. An expansion of the anode during operation may be configured by utilizing a predetermined particle size distribution of silicon particles in the active material. The expansion of the anode may be greater for smaller particle size distributions, which may range from 1 to 10 ?m. The expansion of the anode may be smaller for a rougher surface active material, which may be configured by utilizing larger particle size distributions that may range from 5 to 25 ?m. The expansion may be configured to be more anisotropic using more rigid materials for the current collector, where a more rigid current collector may comprise nickel and a less rigid current collector may comprise copper.

Abstract: A method and system for carbon-coated silicon in a pyrolyzed carbon binder electrode on copper current collectors may include providing a metal current collector; forming a non-porous carbon coating on the metal current collector; coating silicon particles with carbon; forming an active material layer on the metal current collector, where the active material layer comprises at least 50% silicon particles by weight and a carbon source; and pyrolyzing the active material layer on the metal current collector, with no silicon particles in contact with metal from the metal current collector. The metal current collector may include copper. The battery anode may include no copper-silicon eutectic. The silicon particles may range in size from 2 to 50 ?m. The active material layer may include aluminum carbide. A source for the pyrolyzed carbon may include polyimide and/or polyamide-imide. The current collector may be coated with the non-porous carbon coating using physical vapor deposition.

Abstract: Systems and methods are disclosed that provide for pyrolysis reactions to be performed at reduced temperatures that convert non-conductive precursor polymers to conductive carbon suitable for use in electrode materials, which may be incorporated into a cathode, an electrolyte, and an anode, where the pyrolysis method may include one or more catalysts or reactive reagents.

Abstract: Silicon particles for active materials and electro-chemical cells are provided. The active materials comprising silicon particles described herein can be utilized as an electrode material for a battery. In certain embodiments, the composite material includes greater than 0% and less than about 90% by weight silicon particles, the silicon particles having an average particle size between about 10 nm and about 40 ?m, wherein the silicon particles have surface coatings comprising silicon carbide or a mixture of carbon and silicon carbide, and greater than 0% and less than about 90% by weight of one or more types of carbon phases, wherein at least one of the one or more types of carbon phases is a substantially continuous phase.

Abstract: Systems and methods for configuring anisotropic expansion of silicon-dominant anodes using particle size may include a cathode, an electrolyte, and an anode, where the anode may include a current collector and an active material on the current collector. An expansion of the anode during operation may be configured by utilizing a predetermined particle size distribution of silicon particles in the active material. The expansion of the anode may be greater for smaller particle size distributions, which may range from 1 to 10 ?m. The expansion of the anode may be smaller for a rougher surface active material, which may be configured by utilizing larger particle size distributions that may range from 5 to 25 ?m. The expansion may be configured to be more anisotropic using more rigid materials for the current collector, where a more rigid current collector may comprise nickel and a less rigid current collector may comprise copper.

Abstract: Methods and systems are provided for key predictors and machine learning for configuring cell performance. One or more parameters relating to the cell may be measured, via a measurement apparatus, with the cell including a cathode, a separator, and a silicon-dominant anode, and the cell may be managed, based on the one or more parameters, with the managing including predetermining cycle life of the cell based on the one or more parameters using a machine learning model. The cell may be within a battery pack that includes a plurality of cells. The battery pack may be in an electric vehicle. At least one parameter may be measured before a formation process of the cell. At least one parameter may be measured during the formation process. At least one parameter may be measured during cycling of the cell.

Abstract: Methods and systems are provided for key predictors and machine learning for configuring cell performance. One or more parameters relating to operation of a cell may be measured, via a measurement apparatus, with the cell including a cathode, a separator, and a silicon-dominant anode, and cell performance may be managed, based on the one or more parameters, with the managing including assessing the cell performance using a machine learning model. The cell may be within a battery pack that includes a plurality of cells, each of which including a cathode, a separator, and a silicon-dominant anode. One or more of the plurality of cells from the battery pack in response to a determination, based on the assessing, of a different performance of the one or more of the plurality of cells. The battery pack may be in an electric vehicle.

Abstract: Systems and methods are provided for heat treatment of whole cell structures. A battery may be formed based on applying of heat treatment to a whole cell composition that includes, at least, both anode material and cathode material, such that the anode material and the cathode material are heat treated at the same time. The heat treatment may include pyrolysis. The whole cell composition, and the corresponding cell formed based thereon, may include solid state electrolyte.

Abstract: Systems and methods are provided for heat treatment of whole cell structures. A battery may be formed based on applying of heat treatment to a whole cell composition that includes, at least, both anode material and cathode material, such that the anode material and the cathode material are heat treated at the same time. The heat treatment may include pyrolysis. The whole cell composition, and the corresponding cell formed based thereon, may include solid state electrolyte.

Abstract: Systems and methods utilizing aqueous-based polymer binders for silicon-dominant anodes may include an electrode coating layer on a current collector, where the electrode coating layer is formed from silicon and a water soluble polymer and may comprise one or more of the following materials: pH modifiers, viscosity modifiers, strengthening additives, surfactants and anti-foaming agents. The electrode coating layer may include more than 70% silicon and the anode may be in a lithium ion battery.

Abstract: A method for key predictors and machine learning for configuring battery cell performance may include providing a cell that includes a cathode, a separator, and a silicon-dominant anode; measuring a plurality of parameters of the cell; and using a machine learning model to determine cycle life based on the plurality of measured parameters, where one of the measured parameters includes second cycle coulombic efficiency. The plurality of parameters may include initial coulombic efficiency, cell impedance values, open-circuit voltage, cell thickness, and impedance after degassing. A first subset of the plurality of parameters may be measured before a formation process. A second subset of the plurality of parameters may be measured during a formation process, where the plurality of parameters may include a voltage reached during a first 10% of a first formation cycle. A third subset of the plurality of parameters may be measured during cycling of the cell.

Abstract: Disclosed are maleic anhydride-grafted cyclic olefin copolymers, methods for preparing maleic anhydride-grafted cyclic olefin copolymers, low temperature methods for laminating anodes comprising the maleic anhydride-grafted cyclic olefin copolymers, and anodes and alkali ion batteries that comprise the maleic anhydride-grafted cyclic olefin copolymers.

Abstract: Systems and methods are provided for direct coating of electrodes using pyrolysis of flat sheets in silicon-dominant anode cells. A plurality of flat electrode sheets may be formed, and at least a portion of the plurality of flat electrode sheets may be arranged into one or more stacks of flat electrode sheets. Each stack of flat electrode sheets may be placed onto a flat pyrolysis boat, and heat treatment (e.g., pyrolysis) may be applied to each flat pyrolysis boat. Forming of the flat electrode sheets may include use of cutting, punching, and/or notching, such as doing so based on predetermined electrode shapes and/or dimensions. The forming and/or arranging of the flat electrode sheets may be based on one or more predetermined criteria or considerations, such as shrinkage or expansion during the heat treatment.

Abstract: A method for key predictors and machine learning for configuring battery cell performance may include providing a cell that may include a cathode, a separator, and a silicon-dominant anode; measuring a plurality of parameters of the cell; and using a machine learning model to determine cell performance based on the plurality of measured parameters. The plurality of parameters may include initial coulombic efficiency and/or second cycle coulombic efficiency. Cells may be classified based on the determined cell performance and similarly performing cells may be binned together. A battery pack may be provided with a plurality of cells. The plurality of cells may be assessed during cycling using the machine learning model. One or more of the plurality of cells may be replaced when the assessing determines a different performance of the one or more of the plurality of cells. The battery pack may be in an electric vehicle.

Abstract: Systems and methods for use of silicon with impurities in silicon-dominant anode cells may include a cathode, an electrolyte, and an anode including an active material, where the anode active material includes silicon, and where an impurity level of the silicon may be more than 400 ppm. The impurity level of the silicon is more than 600 ppm. The impurity level may be for elements with an atomic number between 2 and 42. The silicon may have a purity of 99.90% or less. A resistance of the silicon when pressed into a 4 mm thick and 15 mm diameter pellet may be 25 k? or less. The active material may include silicon, carbon, and a pyrolyzed polymer on a metal current collector. The metal current collector may include a copper or nickel foil in electrical contact with the active material. The active material may include more than 50% silicon.

Abstract: Disclosed are maleic anhydride-grafted cyclic olefin copolymers, methods for preparing maleic anhydride-grafted cyclic olefin copolymers, low temperature methods for laminating anodes comprising the maleic anhydride-grafted cyclic olefin copolymers, and anodes and alkali ion batteries that comprise the maleic anhydride-grafted cyclic olefin copolymers.

Abstract: Systems and methods for use of silicon with impurities in silicon-dominant anode cells may include a cathode, an electrolyte, and an anode including an active material, where the anode active material includes silicon, and where an impurity level of the silicon may be more than 400 ppm. The impurity level of the silicon is more than 600 ppm. The impurity level may be for elements with an atomic number between 2 and 42. The silicon may have a purity of 99.90% or less. A resistance of the silicon when pressed into a 4 mm thick and 15 mm diameter pellet may be 25 k? or less. The active material may include silicon, carbon, and a pyrolyzed polymer on a metal current collector. The metal current collector may include a copper or nickel foil in electrical contact with the active material. The active material may include more than 50% silicon.