Caterpillar Inc.

Perkins Engines Company Limited

Baoyang Deng

Yanchai Zhang

Perry Dwain Converse

Zhijun Cai

Casey Alan Otten

Michael Andrew Snopko

Theodore E Wiersema

Joseph C Bufkin

Todd R Kabrich

Arvind Sivasubramanian

Andy Publes

Richard A Carpenter

Jason Jon Rasmussen

Gavin Peter Williams

Venkata Dandibhotla

Brett A Zook

Jason T Herlehy

Kyle B Walton

Peter Ladlow

Ridwan Kureemun

Shiferaw Damtie Beyene

Christopher G Y Haddad

Nausheen Ahmad

Syed Ameenuddin Hussain

A system may determine configuration information associated with a power system for a work site that includes one or more power sources. The system may determine respective operation parameters of the one or more power sources and one or more performance criteria associated with the power system. The system may determine a baseline operation plan for the power system. The system may identify an optimization analysis technique and may process, using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system. The system may cause, based on the baseline operation plan for the power system and the optimized operation plan for the power system, one or more actions to be performed.

Optimized operation plan for a power system

An internal combustion engine controller for an internal combustion engine comprising a memory and a processor. The memory is configured to store a plurality of control maps, each control map defining a hypersurface of actuator setpoints for controlling an actuator of the internal combustion engine based on a plurality of input variables to the internal combustion engine controller. The processor comprises a map updating module, a parameter updating module and an engine setpoint module. The map updating module is configured to calculate an optimised hypersurface for at least one of the control maps based on a performance objective function of the internal combustion engine, sensor data from the internal combustion engine, and the plurality of input variables, wherein the performance objective function includes parameters. The parameter updating module is configured to update a parameter of the performance objective function upon determining a change in an operating condition of the internal combustion engine. The parameters comprise one or both of: engine parameters associated with an engine model; and cost parameters associated with a cost function. The map updating module is further configured to update the hypersurface of the control map based on the optimised hypersurface. The engine setpoint module is configured to output a control signal to each actuator based on a location on the hypersurface of the respective control map defined by the plurality of input variables.

Internal combustion engine controller

A method may include receiving information related to operation or a configuration of a hydraulic fracturing system. The hydraulic fracturing system may include a plurality of electric power source outputs and a plurality of hydraulic fracturing rigs. The method may further include performing, based on the information, asymmetric power management of the plurality of electric power source outputs. The method may further include performing, based on the information, asymmetric load management of the plurality of hydraulic fracturing rigs.

Asymmetric power management and load management

A method may include receiving power supply-related information, cost-related information, power demand-related information, and operational priority or site configuration-related information associated with hydraulic fracturing rigs. The hydraulic fracturing rigs may be each associated with a fuel consumption component or an emissions component. The method may further include receiving operational data and determining operational parameters based on the operational data and emissions output predictions for the hydraulic fracturing rigs. The method may further include outputting the operational parameters to a computing device or a controller. The method may further include, based on outputting the operational parameters, receiving operational feedback data and determining whether to modify the operational parameters. In addition, based on the outputting, the method may include determining whether to modify the operational data based on determining to not modify the set of operational parameters and modifying the operational data based on determining to modify the operational data.

Optimizing fuel consumption and emissions of a multi-rig hydraulic fracturing system

A control system implementing a hybrid energy storage system (ESS) optimization strategy is disclosed. The hybrid ESS optimization strategy may be implemented in a machine that comprises a power system that includes a plurality of power sources and a power controller that includes one or more processors. The power controller may receive information related to a set of brake-specific fuel consumption (BSFC) maps associated with the plurality of power sources, determine a performance indicator using a cost function associated with the plurality of power sources, and generate a command to operate the power system based on a power distribution that minimizes an energy cost to operate the power system based on the information related to the set of BSFC maps, the performance indicator, and a load associated with the power system.

Hybrid energy storage system optimization strategy with intelligent adaptive control

A fluid degradation monitoring system may detect a replacement of a fluid of a machine. The fluid degradation monitoring system may determine, after detecting the replacement of the fluid, a first degradation estimate of the fluid using a first technique based on characteristics relating to an operation of the machine. The fluid degradation monitoring system may detect a transition in a value of a dielectric constant of the fluid from a first phase to a second phase. The fluid degradation monitoring system may determine, after detecting the transition in the value of the dielectric constant, a second degradation estimate of the fluid using a second technique based on characteristics relating to the fluid.

Systems and methods for remaining useful life prediction of a fluid

A method for estimating a specific gravity of a gaseous fuel is described. The gaseous fuel may power an engine and the engine may include a cylinder, a gas valve configured to supply an intake port of the cylinder with the gaseous fuel, a gas rail configured to deliver the gaseous fuel to the gas valve, and a microprocessor adapted to perform the method. The method may comprise establishing a pressure wave in the gas rail by opening and closing the gas valve, wherein the pressure wave travels at the speed of sound in the gaseous fuel. The method may further comprise determining a frequency of the pressure wave in the gas rail, and estimating the specific gravity of the gaseous fuel based on the frequency of the pressure wave.

Method and system for estimating the specific gravity of an unknown fuel source in a multi-fuel engine

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