14 results about "Fuel cell bus" patented technology

The present application relates to a kind of electric purging control device for fuel cell bus, connect with fuel cell system, the fuel cell system includes fuel cell system controller, and the purging module is connected with fuel cell system controller and the subsequent control loop of vehicle ON power supply, it is characterized in that, the device includes emergency power-down switch, fuel cell system operation request switch and signal processing module, the input end of fuel cell system operation request switch is connected with fuel cell system controller, the output of fuel cell system controller is connected with the input of signal processing module, the input of emergency power-down switch is connected with signal processing module, the output of signal processing module is connected with the subsequent control loop of vehicle ON power supply in parallel.Compared with prior art, the present application has the advantages of improving safety, reducing vehicle failure rate and the like.

The application provides a hydrogen fuel cell bus energy-saving driving control method and system, and the method comprises the following steps: a hierarchical double-layer deep reinforcement learning architecture is designed; the upper-layer deep reinforcement learning controls the longitudinal speed of the hydrogen fuel cell bus by acquiring the speed, acceleration and ramp road condition and other traffic environment information of the hydrogen fuel cell bus and the front vehicle, so as to ensure the safe and stable driving of the hydrogen fuel cell bus; the lower-layer deep reinforcement learning optimizes the energy management of the hydrogen fuel cell by the speed output by the upper layer; meanwhile, a rapid road comprising three ramps with different traffic flows is designed to perform offline training on the deep reinforcement learning algorithm, so as to obtain the optimized energy-saving driving control. The application realizes the longitudinal speed control and energy management optimization of the hydrogen fuel cell bus by using the double-layer deep reinforcement learning method, so that the hydrogen fuel cell bus can realize energy-saving driving.

The present invention discloses an energy-saving driving method for a networked fuel cell bus with comprehensive comfort enhancement. The method takes a networked fuel cell bus as the research object, utilizes the correlation between IRI and WRMSA, introduces vertical comfort and road surface information into the energy-saving driving strategy; integrates the energy management system and adaptive cruise control, quantifies the collaborative optimization target into a reward coefficient, sets the state space, action space and reward function, and obtains a comprehensive comfort-enhanced energy-saving driving strategy based on a deep reinforcement learning algorithm; obtains an inheritable parameterized neural network strategy by offline training of the energy-saving driving strategy, and downloads it to the vehicle controller to realize the real-time online application of the energy-saving driving strategy. The present invention can achieve energy saving and comfort levels comparable to dynamic programming, and greatly improves computational efficiency for real-time application. While maintaining the safety, durability and other indicators of the vehicle under optimal energy-saving regulation, the present invention increases the comprehensive driving comfort.

The invention discloses a method for extracting working condition data of a vehicle proton exchange membrane fuel cell, and belongs to the technical field of fuel cells. The method comprises the following steps: firstly, selecting real vehicle electric pile data to construct a basic data set, then performing zero returning processing on data of small-amplitude jumping of current and voltage near 0, performing fragment division by utilizing the starting and stopping characteristics of a real vehicle, and finally constructing a data set of data points in the change process of three current points at the previous moment, the current moment and the next moment. Therefore, the working condition information of the real vehicle is reflected. According to the method, the original data is processed through a data extraction method on the basis of the operation data of the electric pile of the fuel cell passenger car, the data volume is greatly reduced, the information under typical current points is fully reflected, the information comprises the duration under each current point, the lifting amplitude between the current points and the like, and the prediction precision is effectively improved.

The application relates to a fuel cell system and belongs to the technical field of new energy automobile fuel cell buses. The fuel cell system comprises a fuel cell and further comprises a relay, wherein the normally open contact of the relay is arranged in the fuel cell system and at the outgoing line end of the fuel cell; a current sensor is arranged between the fuel cell and the normally open contact of the relay and is used for measuring the output current of the fuel cell; a voltage sensor is arranged in the fuel cell and is used for measuring the output voltage of the fuel cell; a protector is connected with the input end of the current sensor and the voltage sensor; the output end of the protector is connected with the control coil of the relay; when normally operating, the protector controls the normally open contact of the relay to be closed; when overcurrent / under-voltage failure occurs, the protector controls the normally open contact of the relay to be disconnected. When overcurrent / under-voltage failure occurs, the fuel cell is directly disconnected with the outside from the inside of the fuel cell, so that the fuel cell is more timely and comprehensively protected.

The present invention discloses an energy management method, device and storage medium for a hydrogen fuel cell bus. The method includes: obtaining a plurality of optimal equivalent factors corresponding to various different driving condition types, which are obtained by using an improved sparrow search algorithm to optimize the equivalent factor in the equivalent consumption minimum strategy according to the hybrid power system model of the hydrogen fuel cell bus and a plurality of typical working condition databases corresponding to the hydrogen fuel cell bus under various different driving condition types; obtaining the current working condition data of the hydrogen fuel cell bus, reducing the dimension of the current working condition data and then inputting it into a working condition recognition model to obtain the current driving condition type, and then screening out the matching optimal equivalent factor to update the equivalent consumption minimum strategy; according to the hybrid power system model and the current working condition data, using the updated equivalent consumption minimum strategy to manage the energy of the hydrogen fuel cell bus. The present invention can improve the control performance of the equivalent consumption minimum strategy for the hydrogen fuel cell bus.

The invention provides a fuel cell passenger car hydrogen cabin leakage detection method and device, and the method comprises the steps: through the arrangement of a hydrogen storage cylinder, a multi-antenna variable-distance sensor support, hydrogen concentration sensors and a central controller, according to the initial position, the moving speed and the operation time of each hydrogen concentration sensor, carrying out the detection of the leakage of each hydrogen concentration sensor; according to the hydrogen concentration and the hydrogen concentration measured by each hydrogen concentration sensor at each measuring point, a diffusion cloud chart of each testing point, the hydrogen concentration and the operation time is constructed, and the hydrogen leakage position is identified according to the diffusion cloud chart. According to the method, local hydrogen gathering groups which are not expected by simulation can be found, the inherent bottlenecks of a simulation and experience method in the aspects of real-time performance, environment complexity and sudden response are solved through data driving and dynamic adaptation of a real-time cloud picture, and the method is particularly suitable for safety scenes needing second-level response such as hydrogen leakage.

A power module disconnect in an electrochemical fuel cell system is configured to disconnect an individual power generation module from the system. The system includes a startup bus and a fuel cell bus, each including multiple current conductors (e.g., five total current conductors). The power module disconnect includes switches, each controlling a current conductor in a module bus corresponding to the system buses, and a manual switch. When turned to the off position, the manual switch simultaneously opens each of the switches to disconnect the module buses from the system buses. When turned to the on position, the manual switch simultaneously closes each of the switches to connect the module buses to the system buses. Accordingly, individual power generation modules can be disconnected without interrupting the entire system. Further, power module disconnects can be added to empty power generation module bays for later system expansion.

The present application relates to the technical field of vehicle control, in particular to a method and system for determining the endurance mileage of a fuel cell passenger vehicle, wherein the driving mileage and the total power consumption of the vehicle are obtained by acquiring vehicle speed information, battery information and hydrogen system information, the average power consumption is determined by using the ratio of the two, the hydrogen consumption mass and the corresponding hydrogen system output power are obtained by acquiring the pressure and temperature of hydrogen based on the ideal gas state equation, the hydrogen-electric conversion coefficient is determined by using the ratio of the two, the current information of each component of the vehicle is converted into corresponding power consumption information, the total conversion power of the hydrogen system is obtained by combining the battery power information, the hydrogen-electric conversion efficiency is obtained by comparing the total conversion power of the hydrogen system with the hydrogen system output power, the hydrogen-electric conversion coefficient is adjusted, the remaining hydrogen at the current time is converted into charging power, the charging power obtained is combined with the remaining battery power and the average power consumption in the current operation cycle to obtain the endurance mileage.

The invention provides an online updating method for an intelligent energy management strategy of a networked fuel cell passenger car, which fuses the thought of knowledge migration and strategy reuse on the basis of deep reinforcement learning, and can fully utilize the result of a continuous station interval in model training. Efficient online updating of the intelligent energy management strategy of the whole bus route is achieved, the relevance between energy management executed by the strategy and multi-element traffic information is improved, and therefore the accuracy and long-term optimization performance of the strategy can be remarkably improved.

The application provides a kind of fuel cell bus solid hydrogen storage system heat management control system, it is related to fuel cell bus heat management technical field.The application is by vehicle controller, water cooling unit, PTC liquid heater, expansion water tank and solid hydrogen storage device constitute heat management system;Vehicle controller works through CAN message coordination water cooling unit and PTC liquid heater, system realizes accurate control to solid hydrogen storage device temperature through automatic heating mode, automatic refrigeration mode or manual mode.Circulating liquid temperature is controlled at 70 to 80 DEG C under automatic heating mode, ensure that solid hydrogen storage device releases hydrogen gas when 45 DEG C and above;Circulating liquid temperature is controlled at 10 to 20 DEG C under automatic refrigeration mode, ensure that solid hydrogen storage device absorbs hydrogen gas when 20 DEG C and below;Manual mode supports driver to select manual refrigeration, heating or self-circulation mode through central control screen.The application solves the heat management problem of solid hydrogen storage system in fuel cell bus application.

This invention proposes an intelligent integrated thermal management system and method for fuel cell buses, comprising: a fuel cell thermal management circuit with a heat exchanger installed on it; a passenger compartment thermal management circuit connected to the heat exchanger, with a dual-core heat exchanger installed on it; a power battery thermal management circuit connected to the dual-core heat exchanger, with a four-way valve installed on it; a motor thermal management circuit connected to the four-way valve; and an air conditioning thermal management circuit connected in parallel to the dual-core heat exchanger.

This invention discloses a noise control method and system for fuel cell buses stopping at bus stops, relating to the field of fuel cell vehicle technology. The method includes: acquiring the distance between the vehicle's current position and the bus stop, and the current vehicle speed; when the distance is less than or equal to a set distance threshold and the vehicle speed is less than or equal to a set speed threshold, controlling the reduction of the fuel cell engine's output power, and acquiring the duty cycle of each fan in the fuel cell radiator; when the duty cycle of any fan is greater than a set proportional threshold, controlling the reduction of the fan duty cycle, disconnecting the connection between the fuel cell and the fuel cell radiator, and opening the connection between the fuel cell and the heat exchanger to reduce the temperature of the fuel cell coolant in the heat exchanger, thereby achieving short-term auxiliary cooling of the fuel cell, solving the problem of insufficient cooling of the fuel cell coolant, and balancing noise control and system thermal safety.