# US 2025/0145006 A1 · Battery electric machine braking productivity control > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0145006 A1 - Document ID: US20250145006A1 - Status: Published application - Kind: A1 - Application number: 18/500,319 - Filed: 2023-11-02 - Published: 2025-05-08 - Earliest claimed: 2023-11-02 - Assignees: Caterpillar Inc. - Applicants: Caterpillar Inc. - Inventors: Karl P. Schneider; Andrew J. Olson; Cameron T. Lane - Web page: https://patentgrep.com/patent/US20250145006A1 ## CPC - B60L 7/26: Controlling the braking effect - B60L 7/10: Dynamic electric regenerative braking (B60L7/22 takes precedence) - B60L 7/18: Controlling the braking effect (B60L7/12, B60L7/14, B60L7/16 take precedence) - B60L 58/15: Preventing overcharging - B60L 58/26: by cooling - B60L 2200/40: Working vehicles - B60L 2240/545: Temperature - B60L 2260/46: by self learning - B60L: PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES (arrangements or mounting of electrical propulsion units or of plural diverse prime-movers for mutual or common propulsion in vehicles B60K1/00, B60K6/20; arrangements or mounting of electrical gearing in vehicles B60K17/12, B60K17/14; preventing wheel slip by reducing power in rail vehicles B61C15/08; dynamo-electric machines H02K; control or regulation of electric motors H02P); SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES (electric coupling devices combined with mechanical couplings of vehicles B60D1/64; electric heating for vehicles B60H1/00); ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL (control or regulation of electric motors H02P); MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES ## Abstract An apparatus for controlling braking systems comprises an energy storage device to absorb energy emitted by a primary braking system. The apparatus can include a controller coupled to the energy storage device to detect conditions of the energy storage device. The controller can predict a point at which the energy storage device will exhibit reduced capability to absorb energy. The controller can provide a control signal to control a secondary braking system to provide braking capability in advance of the predicted point. ## Claims ### Claim 1 An apparatus comprising: an energy storage device configured to absorb energy of a primary braking system; and a controller coupled to the energy storage device to receive data indicating conditions of the energy storage device, the controller configured to: predict a point at which the energy storage device will exhibit reduced capability to absorb energy; and provide a control signal to control a secondary braking system to provide braking capability in advance of the predicted point. ### Claim 2 (depends on 1) The apparatus of claim 1, wherein the controller is configured to predict the point based on conditions of the energy storage device. ### Claim 3 (depends on 1) The apparatus of claim 1, wherein the conditions include a charge state or a temperature. ### Claim 4 (depends on 1) The apparatus of claim 1, wherein the controller is configured to control the secondary braking system and the primary braking system based on predicted braking usage of the primary braking system. ### Claim 5 (depends on 4) The apparatus of claim 4, wherein the controller is configured to implement a machine learning algorithm to predict braking usage. ### Claim 6 (depends on 5) The apparatus of claim 5, wherein the machine learning algorithm is based on inputs including historical braking trends, a working route of the work machine or a working route of a fleet of work machines. ### Claim 7 (depends on 4) The apparatus of claim 4, wherein the controller is further configured to determine a braking power needed from the secondary braking system to prevent derating of machine performance due to aggregate deration of braking systems. ### Claim 8 (depends on 7) The apparatus of claim 7, wherein the controller is further configured to implement a controlling algorithm to control the secondary braking system. ### Claim 9 (depends on 1) The apparatus of claim 1, comprising a plurality of energy storage devices. ### Claim 10 (depends on 9) The apparatus of claim 9, wherein the plurality of energy storage devices comprises at least one battery. ### Claim 11 A work machine comprising: a primary braking system and a secondary braking system; an energy storage device configured to absorb energy of the primary braking system; and a controller coupled to the energy storage device to receive data indicating conditions of the energy storage device, the controller configured to: predict a point at which the energy storage device will exhibit reduced capability to absorb energy; and provide a control signal to control a secondary braking system to provide braking capability in advance of the predicted point. ### Claim 12 (depends on 11) The work machine of claim 11, wherein the controller is coupled to the energy storage device through and interface, and wherein the controller is configured to predict the point based on conditions of the energy storage device, wherein the conditions include a charge state or a cooling mode. ### Claim 13 (depends on 11) The work machine of claim 11, further comprising communication circuitry configured to transmit and receive data related to a fleet of work machines, and wherein the controller is configured to control the secondary braking system and the primary braking system based on predicted braking usage of the primary braking system, wherein the controller is configured to implement a machine learning algorithm to predict braking usage based on inputs including historical braking trends, a working route of the work machine or a working route of the fleet of work machines. ### Claim 14 (depends on 11) The work machine of claim 11, wherein controlling the secondary braking system comprises determining a braking power needed from the secondary braking system to prevent derating of the work machine. ### Claim 15 (depends on 14) The work machine of claim 14, wherein controlling the secondary braking system comprises implementing a controlling algorithm. ### Claim 16 (depends on 11) The work machine of claim 11, comprising a plurality of energy storage devices, and wherein the plurality of energy storage devices comprises at least one battery. ### Claim 17 A method comprising: receiving data indicating conditions of an energy storage device; predicting a point at which the energy storage device will exhibit reduced capability to absorb energy; and providing a control signal to control a secondary braking system to provide braking capability in advance of the predicted point to avoid work machine performance reduction. ### Claim 18 (depends on 17) The method of claim 17, further comprising controlling the secondary braking system and a primary braking system based on predicted braking usage of the primary braking system. ### Claim 19 (depends on 18) The method of claim 18, further comprising implementing a machine learning algorithm to predict braking usage, and wherein the machine learning algorithm is based on inputs including historical braking trends, working route of the work machine or working route of a fleet of work machines. ### Claim 20 (depends on 17) The method of claim 17, wherein controlling the secondary braking system comprises determining a braking power needed from the secondary braking system to prevent derating of work machine performance.