Cummins Inc.

Cummins Intellectual Property, Inc.

Cummins Ip, Inc.

Eaton Corporation

Paccar Inc.

Ut-battelle, Inc.

Hydrogenics Corporation

Vivek Anand Sujan

Kenneth M Follen

Phani Kiran Vajapeyazula

Martin T Books

An Wu

Praveen Chitradurga Muralidhar

Morgan MacKenzie Andreae

Arun Prakash Thunga Gopal

Patrick Osae Djan-Sampson

Howard Robert Frost

J Steven Kolhouse

Thomas M Yonushonis

Adrian P Dale

Archit N Koti

Pinak Jayant Tulpule

J Stephen Wills

Barty L Moffett

Mugdha S Sane

Govindarajan Kothandaraman

Daniel Reed Dempsey

Carlos Alcides Lana

Apurva Arvind Chunodkar

Jeffrey A Matthews

Jairo Andres Sandoval Leon

Anant Puri

Suk-Min Moon

Ashwin Vyas

Tejas Shrikant Kinjawadekar

Timothy R Frazier

Fan Zeng

Oruganti Prashanth Sharma

Nazar Al-Khayat

Timothy J Proctor

Edmund P Hodzen

Yongjie Zhu

Steven J Kolhouse

Abdul R Ofoli

Patrick Kaufman

Subbarao Varigonda

Jingxuan Liu

Avinash Vallur Rajendran

Bangalore Siddalingappa Nagabhushana

Jennifer Kay Light-Holets

Andrew W Osburn

Mert Geveci

Thomas Dollmeyer

C Larry Bruner

Mahesh Madurai Kumar

Jaroslaw Leonarski

Gary L Parker

Gary Charles Salemme

Craig M Calmer

Nathanael G Long

Xi Wei

Sumit Tripathi

Elizabeth Weitzel

William Brent Fields

Vinayak Mandavkar

Guoqiang Li

Jason Meyer

Axel Otto Zur Loye

Samuel C Geckler

David J Stroh

Steven M Bellinger

Richard J Ancimer

Michael Haas

Anthony Kyle Perfetto

Phanindra V Garimella

David Paul Genter

David M Barnes

Adam C Cecil

John N Chi

Wesley Mays

Bradford K Palmer

John P O'Brien

John Franklin Wright

Matthew Richard Busdiecker

Terrence M Shaw

Joseph E Paquette

Stephen Yurkovich

Hoseinali Borhan

Shawn Midlam-Mohler

Agneya Turlapati

Robert Dziuba

Rohit Saha

David J Langenderfer

Patrick J Shook

Gregory A Weber

Indranil Brahma

Zachary Schwab

Emrah Arslanturk

Karim Abdoul Azizou

John Carson Wall

Feng Liu

David Smith

Jeffrey W Rinker

Srinivas Chakravarthy Bathula

Joseph P Chandraraj

Chinmay Rao

Thomas Robert Marsh

A system for controlling a plurality of electric axles of a vehicle is disclosed, comprising: the plurality of electric axles, one or more motor generators associated with one or more of the plurality of electric axles, and a multi-axle controller communicatively coupled to the one or more motor generators and configured to execute software to cause the multi-axle controller to: determine a power demand of the vehicle based at least in part on one or more parameters of each electric axle and current and/or future road grade; generate a performance cost function associated with one or more performance metrics, the power demand, and/or the vehicle information; determine a power distribution among the plurality of electric axles by optimizing the performance cost function; and transmit a traction command to the one or more motor generators to control the operation of the plurality of electric axles.

Methods and systems for controlling multiple electric axles

A system for controlling an overtake maneuver of a control vehicle includes a controller. The controller is structured to: receive at least one overtake parameter associated with a control vehicle for overtaking a front vehicle in a vehicle lane; receive an indication of a direction of traffic in an overtake lane that is adjacent to the vehicle lane; receive an indication that the at least one overtake parameter satisfies at least one condition according to the direction of the traffic in the overtake lane; and in response to the at least one overtake parameter satisfying the at least one condition according to the direction of traffic in the overtake lane, execute an overtake maneuver by adjusting at least one parameter of the control vehicle or providing a command to an operator of the control vehicle to execute the overtake maneuver.

Systems and methods for controlling overtake maneuver in vehicles

Systems, apparatuses, and methods are disclosed that include: determining, by a controller, an estimated propulsion power for a vehicle at a future location of a route at a future time based on at least one of internal information regarding the vehicle, external static information regarding the route of the vehicle, or external dynamic information regarding one or more upcoming potential conditions along the route of the vehicle; determining, by the controller, a current state of charge of a battery; determining, by the controller, a desired state of charge of the battery at the future location without substantially changing an output power of an engine of the vehicle; and facilitating, by the controller, charging of the battery of the vehicle to achieve the desired state of charge of the battery at the future location without substantially changing the output power of the engine of the vehicle.

Systems and methods of battery management and control for a vehicle

A hydrogen storage tank of a vehicle includes a housing defining an inlet/outlet opening, a control assembly extending into the housing through the opening and comprising a plurality of sensors, and a controller configured to receive signals from the plurality of sensors. The controller of the hydrogen storage tank is configured to, in response to a request for a handshake signal, initiate sending the handshake signal, and in response to the vehicle being started, initiate periodically sending data indicating parameter values received from the plurality of sensors.

Smart hydrogen storage tanks for fuel cell applications

A method includes receiving an indication regarding a deceleration event for a vehicle, remapping a response of a prime mover of the vehicle from following a first response curve to following a deceleration response curve in response to (i) the deceleration event and (ii) a speed of the vehicle being greater than a speed threshold, and activating an output of the prime mover to accelerate the vehicle at a relatively lesser amount of depression of an accelerator from a non-depressed state of the accelerator than prior to the deceleration event in response to the accelerator being engaged by an operator following the deceleration event.

Dynamic accelerator response management for a vehicle

The subject matter described herein generally relates to look ahead energy management and control systems and methods for detecting, incorporating, and leveraging look ahead technology data to improve the performance, durability, and life of fuel cell systems.

Look ahead energy management and control systems and methods to improve fuel cell system performance, durability, and life

An apparatus includes a control circuit. The control circuit is structured to interpret condition data indicative of an external operating condition of a vehicle, determine an operating parameter of the vehicle based on an actuator response of an actuator of the vehicle, compare the operating parameter to an operating parameter threshold where the operating parameter threshold is based on the external operating condition, and remap an actuator response map of the actuator based on the comparison indicating that the operating parameter does not satisfy the operating parameter threshold. The operating parameter includes at least one of a fuel economy value, an emissions value, an acceleration value, a braking value, or a wear value.

System, method, and apparatus for driver optimization

The present disclosure generally relates to systems and methods for implementing power a power split between a first and a second power source in a fuel cell powertrain system. The method includes receiving an input into a processor of the fuel cell powertrain system, determining an output by the processor, communicating the output by the processor to a system controller and determining a power split by the system controller. The first power source includes a fuel cell system and the second power source is selected from a battery system or an engine, and the input includes a life or health of at least one of the first power source or the second power source.

Fuel cell powertrain systems and methods for power split and allocation in fuel cell powertrain systems

A system is provided for performing an automated power charging process for one or more electric vehicles using a processor. Included in the processor is a charge controller that calculates a capacity of a power grid system by communicating with the power grid system via a network, and a power demand level of the one or more electric vehicles to satisfy one or more mission requirements of each electric vehicle. The power demand level of the one or more electric vehicles is compared with the capacity of the power grid system. In response to the comparison, at least one charging mode is selected from an override mode and an internal combustion engine mode for performing the automated power charging process. The charge controller automatically charges the one or more electric vehicles based on the selected at least one charging mode.

Power charging control systems and methods for electric vehicles

A system for charging electric vehicles is disclosed, comprising: vehicle chargers coupled to an electric power grid; and a controller in communication with the chargers and vehicles and configured to execute software to cause the controller to: determine characteristics of each vehicle, the characteristics including a charge capacity of a battery system of each vehicle and a mission schedule; determine characteristics of each charger, the characteristics including a type of each charger and a charging capacity; process the characteristics of each vehicle and each charger to identify charging opportunities for each vehicle over the course of a time period; and perform a peak power optimization analysis to generate a vehicle charging profile configured to activate a minimum number of chargers simultaneously and to minimize downtimes of the plurality of chargers to thereby distribute the power demand from the electric power grid and result in an initial peak power demand.

Charger peak power optimization for fleet depot

An improved power-split control system for managing a load profile of a fuel cell in a fuel cell electric vehicle (FCEV) is provided. The power-split control system is operable to actively manage the power demand between the fuel cell and the battery of a FCEV to optimize the operational life of the fuel cell. The power-split control system can use information gathered solely from historical drive cycle data or from historical drive cycle data combined with look-ahead eHorizon data. The power-split control system meets a power demand by operating the powertrain in either a battery charge sustaining mode or a battery charge depletion mode. The power-split control system is also configured to control the power distribution (to the electric motor) from the fuel cell and the battery in a manner that minimizes the degradation of the fuel cell.

Fuel cell system power-split control for component durability management

Systems and apparatuses include one or more processing circuits including one or more memory devices coupled to one or more processors. The one or more memory devices are configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to: receive a parameter regarding operation of a first vehicle of a first platoon; compare the parameter to a first predetermined threshold; responsive to determining that the parameter satisfies the first predetermined threshold, determine an exit parameter for the first vehicle; and cause the first vehicle to exit the first platoon based on the exit parameter.

Platoon system for vehicles

An air handling system for a fuel cell stack includes a pneumatic storage device disposed downstream from a compressor, a flow control valve system configured to operatively couple an inlet of the pneumatic storage device to an outlet of the compressor and configured to operatively couple an outlet of the pneumatic storage device to an inlet of the fuel cell stack, and a controller configured to, in response to a power demand being greater than a threshold, cause the flow control valve to open to increase a flow rate of air from the pneumatic storage device to the fuel cell stack.

Air tank and variable geometry air handling in hydrogen fuel cells

The present disclosure generally relates to a multiple receptacle fuel filling and storage system in a vehicle and/or powertrain, and a method of using the same.

Multi-receptacle fuel filling and storage system and method of using the same

Systems, apparatuses, and methods disclosed herein relate to a system including a vehicle accessory and a controller coupled to the vehicle accessory. The controller is configured to receive internal vehicle information including information about the vehicle accessory; receive external static information based on a position of the vehicle; receive external dynamic information based on the position and a time of travel of the vehicle at the position; and control operation of the vehicle accessory based on the internal vehicle information, the external static information, and the external dynamic information.

Systems and methods of energy management and control of vehicle accessories

Growing community of inventors

Columbus, IN, United States of America

Vivek Anand Sujan