Abstract:
A system includes a sensor array and a processing circuit. The processing circuit is operable to: store a policy; receive the sensor information from the sensor array; receive horizon information from a horizon system; input the sensor information and the horizon information into the policy; determine an output of the policy based on the input of the sensor information and the horizon information; control operation of a vehicle system according to the output; compare the sensor information received after controlling operation of the vehicle system according to the output relative to a reward or penalty condition; provide one of a reward signal or a penalty signal in response to the comparison; update the policy based on receipt of the reward signal or the penalty signal; and control the vehicle system using the updated policy to improve operation in view of the operating parameter.
Abstract:
A method includes: receiving information indicative of operation of a vehicle and of a driving condition for the vehicle; determining a slowdown event of the vehicle within a predefined time period or distance based on the received information; determining, in response to the determination of the slowdown event within the predefined time period or distance; that a takeover event is feasible based on the received information; and, initiating the takeover event in response to the determination that the takeover event is feasible.
Abstract:
Systems and apparatuses include a controller structured to: receive information indicative of an operating condition of a vehicle subsystem, receive information indicative of an external static condition, and receive information indicative of an external dynamic condition. The system is further configured to predict a fuel cut event based on at least one of the operating condition of the vehicle subsystem, the external static condition, and the external dynamic condition. Responsive to predicting a fuel cut event, the controller is structured to modulate at least one of a torque or a speed of the engine based on the operating condition of the vehicle subsystem and at least one of the information indicative of the external static condition and the external dynamic condition.
Abstract:
There is disclosed a cloud computing control system for vehicle speed control and also for control of a vehicle in a platoon. The cloud computing control system determines a speed trajectory and neutral coasting command for a first vehicle of the platoon and a vehicle controller determines a reference speed for the first vehicle in response to the speed trajectory and the neutral coasting command, and is response to one or more vehicle specific factors associated with the first vehicle
Abstract:
In some implementations, a method may include obtaining target fault data indicating a preselected fault for a vehicle having a hydrogen source. In addition, the method may include obtaining vehicle fault data indicating a fault of the vehicle. The method may include identifying a match between the fault and the preselected fault. Moreover, the method may include purging, in response to the identifying the match, hydrogen from the hydrogen source so as to reduce consequences of a battery thermal event by reducing the likelihood of a hydrogen-fueled fire.
Abstract:
A method of operating a platoon of vehicles may include determining a joint optimization of operating parameters of a forward vehicle of the platoon and a rearward vehicle of the platoon. The operating parameters of the forward vehicle may include vehicle motion plan parameters for the forward vehicle. The operating parameters of the rearward vehicle may include suggested control actions for the second vehicle. The method may include wirelessly transmitting from the forward vehicle the vehicle motion plan parameters for the forward vehicle and the suggested control actions for the rearward vehicle, wirelessly receiving at the forward vehicle following vehicle capability parameters indicating capability of the following vehicle, determining in response to the following vehicle capability parameters an updated joint optimization including updated vehicle motion plan parameters for the forward vehicle, and controlling motion of the forward vehicle in response to the updated vehicle motion plan parameters.
Abstract:
A system includes a controller comprising at least one processor coupled to a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising: receiving information indicative of operation of the vehicle and of a driving condition for the vehicle; determining that a speed of the vehicle is less than a target speed for the vehicle based on the received information; determining, in response to the determination that the speed is less than the target speed, that the lane change and takeover event is at least one of feasible or efficient based on the received information; and providing, in response to the determination regarding the lane change and takeover event, a notification.
Abstract:
Systems and apparatuses include a controller structured to: receive information indicative of an operating condition of a vehicle subsystem, receive information indicative of an external static condition, and receive information indicative of an external dynamic condition. The system is further configured to predict a fuel cut event based on at least one of the operating condition of the vehicle subsystem, the external static condition, and the external dynamic condition. Responsive to predicting a fuel cut event, the controller is structured to modulate at least one of a torque or a speed of the engine based on the operating condition of the vehicle subsystem and at least one of the information indicative of the external static condition and the external dynamic condition.
Abstract:
System, apparatus, and methods are disclosed for a computing a first set of parameters based on operational states of an internal combustion engine and an air handling system, a second set of parameters based on a linear time varying model, and one or more control commands based upon a minimization or maximization of a cost function over a prediction horizon, the second set of parameters, and at least one physical constraint of the internal combustion engine, and controlling one or more operations based at least in part upon the one or more control commands. The acts of determining the first and second set of parameters and computing the one or more control commands are repeated over a plurality of time periods over which the first set of parameters and the second set of parameters are time variant.
Abstract:
A battery management system for a rechargeable battery includes a battery monitor configured to acquire data regarding the rechargeable battery and a processor. The processor is configured to determine an initial state of charge of the battery based on the acquired data; determine a target state of charge for the battery; determine a plurality of charging solutions to achieve the target state of charge based on an optimization of one variable of the battery of a plurality of variables of the battery; narrow the plurality of charging solutions to charging solutions that meet an objective of each of the remaining plurality of variables of the battery; select the charging solution that corresponds with the fastest charge time for the battery from the charging solutions that meet the objective of each of the plurality of battery variables; and command a controller to regulate an amount of charge to the battery in accord with the selected charging solution.