193 results about "Hydrogen consumption" patented technology

The invention discloses a fuel cell hybrid electric vehicle power distribution method based on heuristic action planning deep reinforcement learning. The method comprises the following steps: establishing a power distribution system model of a fuel cell hybrid electric vehicle equipped with a lithium battery and a super capacitor; a power layered structure is provided, a deep reinforcement learning model of the fuel cell hybrid electric vehicle is designed, a probability transfer matrix of required power is constructed, and model training is performed in a data driving mode; designing a reward function by adopting an equivalent consumption minimum strategy, and guiding optimization of an energy management strategy by fuel economy; the motion space of deep reinforcement learning is improved by adopting heuristic planning, and smooth output of the fuel cell is kept on the premise of reducing equivalent hydrogen consumption. According to the method, power distribution of the three-energy-source fuel cell hybrid electric vehicle can be achieved in a complex and random driving environment, hydrogen consumption is reduced, dynamic adaptability to different driving conditions is improved, and meanwhile the method has the potential of real-time application.

The invention provides a fuel cell vehicle energy-heat cooperative control method considering thermal characteristics of a power system, and solves the problem that energy and heat management at low temperature is difficult to collaboratively optimize. According to the method, an energy-heat collaborative global dynamic planning model is established through a long-time-domain average vehicle speed, and the optimal reference trajectory of the SOC and the fuel cell temperature is solved off line by integrating the preheating energy consumption of a power cell and the temperature coupling effect of the fuel cell. And in a short time domain, an LSSVM and BPNN fusion algorithm is adopted to predict the vehicle speed, real-time rolling optimization is performed on the SOC and the fuel cell temperature in combination with a nonlinear MPC strategy, and a global optimal track is tracked. According to the method, on the premise of meeting the temperature requirements of the cabin and the battery, the lowest hydrogen consumption of the whole vehicle and the optimal power system efficiency are achieved, and the energy utilization rate and the cruising ability under the severe cold working condition are improved.

The invention discloses a real-time SLMP fuel cell hybrid electric vehicle energy management method. The method comprises the following steps: firstly, collecting vehicle operation data in real time, constructing an operation state vector containing kinetic parameters, and initializing a state transition matrix as agent action input; on the basis, the speed and the acceleration are predicted through a self-learning Markov predictor, and dynamic self-adaptive power distribution of the fuel cell and the power cell is achieved in combination with a multi-objective optimization function and power distribution constraints. The method passes hardware-in-the-loop (HIL) verification, aims at reducing hydrogen consumption and improving efficiency, and exits if two times of circulation are not passed. Compared with a traditional method based on rules or static optimization, the method innovatively embeds a self-learning mechanism, has the advantages of being high in adaptability, high in prediction precision and good in generalization performance, and is suitable for energy management optimization under complex working conditions.

The invention relates to the technical field of renewable energy consumption, in particular to a vehicle-hydrogen-steel collaborative green hydrogen fluctuation stabilizing method and system, a physical layer is provided with a wind-solar power generation device, an electrolytic hydrogen production device, a hydrogen storage buffer tank, a steel heat supply device, an electric vehicle and a V2G charging pile which are connected with one another through a hydrogen conveying pipeline and a power cable; the information layer takes the central regulation and control platform as a core, collects wind-solar power, hydrogen yield, steel hydrogen consumption and electric vehicle SOC by using sensors, and transmits the collected power, hydrogen yield, steel hydrogen consumption and electric vehicle SOC to the central regulation and control platform; the central regulation and control platform executes a hierarchical dynamic fluctuation regulation and control mechanism; when the fluctuation range of the hydrogen yield does not exceed a set value, the hydrogen is stabilized by controlling the hydrogen storage buffer tank to charge and discharge hydrogen; and when the fluctuation amplitude exceeds a set value, a V2G system is started, and stabilizing is carried out by controlling charging and discharging of the electric vehicle. On the premise that the special energy storage cost is not greatly increased, stable and low-cost supply of green hydrogen is achieved, and energy conservation and emission reduction of steel and other high-energy-consumption industries are achieved.

The invention provides a fuel cell vehicle hydrogen consumption life optimization management method and system, relates to the technical field of vehicle control and energy management of fuel cell vehicles, and aims to solve the problem that in the prior art, a fuel cell vehicle is difficult to balance hydrogen consumption economy and life durability at the same time. According to the method, a hydrogen consumption-service life dual-objective optimization model containing a dynamic efficiency coefficient and a catalyst attenuation item is constructed by collecting the whole vehicle working condition, environment and fuel cell stack core state data in real time, an improved NSGA-II algorithm introducing a self-adaptive crossover operator and an elitist retention strategy is adopted for solving, optimization parameters are selected in combination with scene priorities, and the optimal performance of the fuel cell stack is improved. Working condition pre-judgment response is realized through a pre-adjustment unit; the system is composed of a data acquisition module, a model construction module, an algorithm solution module, an optimization decision module and a control execution module, supports model online updating and fault degradation, can consider hydrogen consumption economy, service life durability and dynamic responsiveness, and is suitable for various fuel cell commercial vehicles and passenger vehicles.

A hydrogen supply system includes a detachable hydrogen tank, a hydrogen consumption apparatus that consumes hydrogen in the hydrogen tank, and a control device. The hydrogen consumption apparatus includes a detachment and attachment mechanism that detaches the hydrogen tank from the hydrogen consumption apparatus and attaches the hydrogen tank to the hydrogen consumption apparatus. The detachment and attachment mechanism includes a motor that controls detachment and attachment of the hydrogen tank from and to the hydrogen consumption apparatus. When a torque value of the motor exceeds a threshold during the control of the detachment and attachment of the hydrogen tank from and to the hydrogen consumption apparatus, the control device returns the hydrogen tank to a position where a moving process in which the threshold being exceeded is detected is started.

This invention relates to the field of petroleum refining and chemical engineering, and discloses a method for hydrogenating waste tire pyrolysis oil. The method includes the following steps: (1) in the presence of hydrogen, the waste tire pyrolysis oil raw material undergoes a gas-phase desulfurization reaction in a first gas-phase hydrogenation reactor to obtain a gas-phase desulfurization reaction product; (2) the gas-phase desulfurization reaction product is subjected to gas-liquid separation to obtain a gas-phase component and a liquid-phase component; (3) the liquid-phase component is pressurized and mixed with hydrogen, and then subjected to a liquid-phase dearomatics reaction in a second hydrogenation reactor to obtain a liquid-phase dearomatics reaction product; the nitrogen content in the waste tire pyrolysis oil raw material is 3000-10000 μg / g. This method uses waste tire pyrolysis oil from the middle distillate as raw material, achieving deep desulfurization while reducing the removal of nitrogen oxides and monocyclic aromatic hydrocarbon saturation. It also simplifies the overall process flow, reduces the reaction severity, and lowers energy and hydrogen consumption.

The invention discloses a hydrogen fuel cell optimization algorithm based on particle swarm optimization of an integrated system, and belongs to the technical field of micro-grid energy management. An existing hydrogen fuel cell has the problems of low fuel utilization rate, slow response speed and the like under a dynamic load condition. In order to solve the problem, a hybrid energy system topology consisting of a photovoltaic (PV), a proton exchange membrane fuel cell (PEMFC), a lithium ion battery (BAT) and a super capacitor (SC) is constructed, and mathematical models, including a photovoltaic output power model, a fuel cell voltage model and a cell state-of-charge model, of all energy units are established. A PI controller is designed for a fuel cell, and a proportional gain KP and an integral gain KI of the fuel cell are dynamically adjusted through a particle swarm optimization (PSO) algorithm. Specifically, PI parameters are coded into particle position vectors, a multi-target fitness function is constructed, and hydrogen consumption, system stability and oxygen utilization rate are comprehensively considered; and a dynamically adjusted inertia weight mechanism is adopted to guide particle search, and iterative optimization is realized. After optimization, parameters are written into a PI controller in real time, and the hydrogen and air flow is accurately adjusted. Meanwhile, a continuous monitoring mechanism is introduced, when the photovoltaic power fluctuation exceeds 10%, re-optimization is automatically triggered, and closed-loop control is formed. The method improves the fuel utilization rate and the reaction rate of the fuel cell, is suitable for the dynamic load micro-grid, and improves the overall efficiency and stability of the system.

The invention discloses a method for optimizing the energy efficiency of a DDPG fuel cell automobile. The method comprises the following steps: firstly, constructing a whole vehicle running state vector st containing multi-dimensional characteristics such as vehicle speed, driving power demand, battery charge state, fuel cell working parameters and the like, and directly defining fuel cell output power Pfc, t as agent action output at; on the basis, a multi-target comprehensive reward function considering the hydrogen consumption rate, the power fluctuation and the galvanic pile life penalty at the same time is established, an optimal energy distribution strategy is obtained through iterative updating of a strategy network and a value network of the DDPG, and dynamic self-adaptive power distribution between the fuel cell and the power cell is achieved. Compared with an existing energy management method based on rule or single-target optimization, the method has the advantages that the reinforcement learning agent is innovatively and deeply embedded into a fuel cell automobile energy management scene, and comprehensive optimization of high efficiency, low hydrogen consumption and prolonging of the service life of a galvanic pile is realized under the multi-constraint condition; the method has the advantages of high adaptive learning capability, high convergence speed and good generalization performance.

A hydrogen supply system including: a plurality of hydrogen tanks that is attachable and detachable; a hydrogen consumption device that consumes hydrogen of the hydrogen tanks; and a control device is provided. The hydrogen consumption device includes an attaching-detaching mechanism including a plurality of motors that controls attaching and detaching of the hydrogen tanks with respect to the hydrogen consumption device, the motors corresponding to the attaching and detaching of the respective hydrogen tanks. The control device disposes, based on a temperature of each of the motors, a hydrogen tank of the hydrogen tanks to a hydrogen supply start position at which the hydrogen tank and the hydrogen consumption device are connected in a state in which the hydrogen tank is allowed to supply hydrogen to the hydrogen consumption device, or disposes the hydrogen tank to a hydrogen supply standby position.

Proposed is a hydrogen management system in which location information, pressure information, temperature information, collision information, hydrogen concentration information, and flow rate information are transmitted from sensors mounted in a manifold of each of a plurality of tube trailers (T1, T2, . . . ), and the hydrogen consumption amount, the remaining hydrogen amount, the number of users, etc. are transmitted from the plurality of hydrogen charging stations (S1, S2, . . . ) so that current hydrogen storage and demand amounts are predicted, thereby managing an entire hydrogen cycle, including hydrogen production, in an integrated manner.

A power allocation method based on a heterogeneous dual fuel cell system is proposed. This method combines multi-frequency separation of load power with an improved particle swarm optimization (IPSO) algorithm and model predictive control (MPC) to achieve synergistic optimization of system performance. Simulation results demonstrate that the invention fully utilizes the efficiency characteristics of the heterogeneous dual-stack design to achieve intelligent power allocation, thereby significantly reducing hydrogen consumption per 100 kilometers. Simultaneously, through frequency domain decoupling and MPC constraint optimization, the dynamic stress of the fuel cell is effectively mitigated, and the standard deviation of the power change rate is significantly reduced. This lays a solid foundation for extending component lifespan and provides important theoretical basis and feasible engineering solutions for the design of future long-life, high-efficiency multi-stack fuel cell systems.

To provide a hydrogen supply system capable of avoiding continuation of pinching of foreign matter or the like.SOLUTION: A hydrogen supply system comprising: a detachable hydrogen tank; a hydrogen consuming device configured to consume hydrogen in the hydrogen tank; and a control device, wherein the hydrogen consuming device comprises a detachment mechanism configured to detach the hydrogen tank from the hydrogen consuming device, when a torque value of the motor exceeds a threshold value during attachment / detachment control of the hydrogen tank to / from the hydrogen consumption device, the control device returns the hydrogen tank to a position at which a moving stroke in which the torque value exceeds the threshold value is started.SELECTED DRAWING: Figure 1

The invention relates to the technical field of renewable energy utilization and green chemical engineering coupling, and discloses an operation method and system for coupling renewable energy water electrolysis hydrogen production with green chemical engineering, and the operation method comprises the following steps: at the beginning of each operation cycle, presetting a chemical engineering system operation load, and keeping the preset chemical engineering system operation load unchanged in the same operation cycle; acquiring power prediction data of wind and light power generation in each operation cycle, and calculating a water electrolysis hydrogen production yield prediction value according to the power prediction data and the water electrolysis hydrogen production comprehensive power consumption; the pressure of the hydrogen storage tank is collected in real time, the pressure of the hydrogen storage tank is divided into a plurality of intervals, and in each interval, the hydrogen consumption rate in the operation cycle of the chemical system is determined through different correction coefficients according to the pressure of the hydrogen storage system and the predicted value of the water electrolysis hydrogen production yield. In combination with the hydrogen storage condition and wind and light electricity power prediction, the chemical stable operation load in the next time period is set, the operation stability of a chemical system is improved, and the variable load operation frequency is reduced.

The application discloses a capacity planning method and device of a wind-solar-hydrogen storage micro-grid system, and relates to the technical field of renewable energy micro-grid planning. The method comprises the following steps: obtaining a target function and parameter constraint conditions of the wind-solar-hydrogen storage micro-grid system; the target function is determined according to total fixed costs and total operating costs of the wind-solar-hydrogen storage micro-grid system; the parameter constraint conditions comprise photovoltaic and wind power installed capacity output constraints, energy storage boundary and energy change rate constraints, maximum hydrogen consumption rate constraints, system feasibility constraints, continuous operation constraints and timing consistency constraints, and robustness constraints; the target function and the parameter constraint conditions are solved to obtain the installed capacity of a photovoltaic power generation system and a wind power generation system, and the storage capacity of an electrochemical energy storage system and the rated power capacity of a hydrogen fuel cell system. The method improves the accuracy of micro-grid system capacity planning and realizes the balance between economy and reliability.

The invention provides an energy management method considering a single push failure characteristic, and belongs to the technical field of energy management, and the method comprises the steps: building an unmanned aerial vehicle hybrid battery system model with a hydrogen fuel battery as a main power supply and a lithium ion battery as an auxiliary power supply; and a power following management strategy is established, single-source fault tolerance of the fuel cell is combined with an equivalent hydrogen consumption minimum strategy, and the output power of the fuel cell and the lithium battery is controlled according to the SOC state to improve the fuel economy of the hybrid battery system and ensure the reliable power supply of the hybrid battery system. The lithium battery is prevented from being overcharged or overdischarged while the load power supply is ensured, and the instantaneous equivalent minimum hydrogen consumption of the hybrid battery system is solved, so that the optimal energy distribution of the system is realized, and the reliable power supply of the system is ensured. According to the method, the situation of single-source faults is considered, system energy management based on the ECMS is carried out, the economical efficiency is effectively improved, meanwhile, reliable power supply of the hybrid power system is guaranteed, and good performance is achieved.

The application discloses an intelligent hydrogenation method and system for a generator, relates to the technical field of generator hydrogenation, and determines the working state of the generator at different time nodes according to the past power generation plan of the generator, constructs a generator working state curve and a generator hydrogen consumption curve, and generates an initial strategy reference model; according to the current power generation demand, the working state of the generator in a preset time section is determined, and a fixed-proportion hydrogenation control strategy is constructed; according to the working state and load condition of the generator set, the injection amount of hydrogen is dynamically adjusted, a plurality of variable-proportion hydrogenation control strategies are generated, the fixed-proportion hydrogenation control strategy and the variable-proportion hydrogenation control strategy are evaluated from the energy-saving property and adaptability, and the energy-saving property evaluation and adaptability evaluation of the fixed-proportion hydrogenation control strategy and the variable-proportion hydrogenation control strategy are comprehensively evaluated to determine the optimal hydrogenation control strategy, which is determined as the current hydrogenation control strategy.

The present invention relates to a hydrogen supply system comprising a plurality of detachable hydrogen tanks, a hydrogen consumption device that consumes hydrogen in the hydrogen tanks, and a control device, and an attachment / detachment mechanism that includes a plurality of motors that control attachment / detachment of the hydrogen tanks to / from the hydrogen consumption device and that cope with the attachment / detachment of each of the plurality of hydrogen tanks, the control device disposing the hydrogen tanks at a hydrogen supply start position or at a hydrogen supply standby position on the basis of the temperatures of the motors. The hydrogen supply start position is a position where the hydrogen tank and the hydrogen consumption device are connected so that the hydrogen tank can supply hydrogen to the hydrogen consumption device.

Systems and methods are provided for reducing hydrogen consumption during deoxygenation of bio-derived (or at least partially bio-derived) feedstocks. The reduced hydrogen consumption is achieved by performing the deoxygenation in the presence of a bulk multimetallic catalyst and / or in the presence of a base metal dewaxing catalyst having reduced metal stack heights. Additionally, due in part to being able to reduce or minimize hydrogen consumption, the heat release during deoxygenation can also be reduced, thus allowing a smaller catalyst volume to perform deoxygenation.

This application provides a method and system for optimizing the layout of hydrogen refueling networks based on big data, relating to the field of hydrogen refueling station planning technology. This application acquires the vehicle-end driving trajectory of hydrogen fuel cell vehicles, the hydrogen pressure reduction at the vehicle end, and the hydrogen production rate of local hydrogen production plants to calculate the node hydrogen consumption equivalent for each road segment node; performs road segment blocking operations on the physical road network according to hazardous chemical prohibition rules to generate a hydrogen transportation road network; takes the local hydrogen production plant as the starting node, performs capacity attenuation calculations outward along the hydrogen transportation road network based on the plant's hydrogen production rate, and outputs the node hydrogen supply equivalent for each road segment node; spatially superimposes and cancels the node hydrogen consumption equivalent with the node hydrogen supply equivalent, locks the target road segment node that meets the first preset condition, performs spatial correction, and outputs the station deployment coordinates. This invention can automatically generate hydrogen refueling station site selection coordinates based on the spatiotemporal matching relationship between actual vehicle-end hydrogen consumption and local hydrogen supply, improving the rationality and operational efficiency of the hydrogen refueling network layout.

The invention provides a fuel cell engine system and a vehicle. Comprising a fuel cell stack, a hydrogen path for supplying hydrogen to the fuel cell stack, an air path for supplying oxygen to the fuel cell stack, a main cooling path for adjusting the temperature of the fuel cell stack, an auxiliary machine cooling path for adjusting the temperature of an auxiliary machine of the whole vehicle, and a heat exchange path for heat exchange with the whole vehicle. During low-temperature starting, by coordinating parts of a heat exchange path and a main cooling path, the system is heated by discharged high-temperature cooling liquid, so that the power consumption of a main radiator of the system is reduced, the power consumption of a vehicle air conditioner is reduced, the heat efficiency of the system is improved, and the hydrogen consumption of the vehicle is reduced; moreover, during low-temperature starting, parts of the heat exchange path and the main cooling path are adjusted to work cooperatively, unfreezing of the parts of the system is accelerated, the PTC heater heats the fuel cell stack, meanwhile, the PTC heater serves as a load, the self-heating power of the fuel cell stack can be improved, system starting is further accelerated, and therefore the low-temperature starting time is shortened.

The application discloses a production process of a stepped boosting fast replacement hydrogen long tube trailer, which comprises the following steps: checking before replacement, checking residual pressure and temperature, replacing and emptying a pipeline, switching to a sampling branch, opening a valve for sampling, closing a sampling valve, analyzing a sample, calculating a maximum hydrogen estimation amount required for replacement, filling high-purity hydrogen, replacing and filling a pipeline, filling the hydrogen long tube trailer, repeatedly filling, detecting a sample again, and detecting whether a replacement result is qualified or not. The application can quickly, efficiently and safely replace hydrogen tanks of a tube bundle trailer, can reduce replacement time of the tube bundle trailer, can reduce hydrogen consumption during replacement, and can reduce average transportation cost of hydrogen.

A synthesis method of 2,5-dihydroxymethyl tetrahydrofuran, comprising: 5-hydroxymethyl furfural is contacted with hydrogen after a plasma generator in the presence of a non-noble metal catalyst to generate 2,5-dihydroxymethyl tetrahydrofuran. The present application uses 5-hydroxymethyl furfural (5-HMF) as raw material, and synthesizes DHMTHF by hydrogen plasma coupling non-noble metal catalyst. The method of the present application does not need to use noble metal, utilizes the high reactivity of excited state particles in hydrogen plasma, reduces the reaction pressure and reaction temperature, and the plasma has the effect of dispersing the catalyst active metal again. The whole reaction process has the characteristics of relatively mild reaction conditions, low hydrogen consumption, high selectivity of target product, simple process, good stability of catalyst, low cost of catalyst, etc.

A hydrogen gas supply system for a hydrogen consuming energy converter arranged onto a vehicle comprising a plurality of tanks for storage of pressurized hydrogen gas, wherein each tank is provided with a valve configured to control the flow of hydrogen from the corresponding tank into a flow line connected to the hydrogen consuming energy converter, wherein the plurality of tanks comprises one or more primary tanks, each of which being provided with a corresponding primary hydrogen flow control valve, the plurality of tanks further comprising a secondary tank provided with a corresponding secondary hydrogen flow control valve, wherein the hydrogen gas supply system is arranged so that the secondary tank contains a smaller maximum working amount of pressurized hydrogen, and / or so that the flow of hydrogen from the secondary tank is restricted.

The application discloses a hydrogen network optimization method and system based on a Gaussian process regression agent model, and belongs to the field of petroleum chemical process system engineering and technology.The method first constructs Gaussian process regression agent models of desulfurization, denitrogenation and dearomatics reaction kinetics for different hydrogenation devices, respectively, to accurately predict hydrogen consumption and product impurity content with operating temperature and pressure as input;then embeds the agent models of the devices into a hydrogen network optimization model to establish an integrated optimization problem of minimum total annual cost;finally, solves the optimization problem by using an improved differential evolution algorithm combined with a three-stage search strategy of global exploration-local development-convergence verification to obtain optimal operating parameters.The application shortens the optimization calculation time to about 90 seconds, solves the solving difficulty of traditional methods coupled with complex kinetics, realizes collaborative optimization of hydrogenation operation and hydrogen network operation while ensuring product quality, reduces hydrogen consumption and total annual cost of the system, and significantly improves the economic benefit and operation efficiency of the hydrogen system of a refinery.

The invention belongs to the field of hydrogen production technology and emission reduction, and discloses an unsaturated hydrocarbon water vapor conversion hydrogen production system and method. The system comprises an unsaturated hydrocarbon feeding pipeline, a purification device, a first heating device, a hydrogenation reaction device, a water vapor feeding pipeline, a mixer, a second heating device, a conversion device, a first cooling device, a conversion device, a second cooling device, a hydrogen purification device and a product hydrogen pipeline. According to the invention, sulfur in the system is reduced, a renewable purifying agent capable of removing various impurities at the same time is adopted, and the hydrogen consumption of raw material pretreatment is reduced.

A hydrogen supply system includes a removable hydrogen tank, a hydrogen consumption device that consumes the hydrogen in the tank, and a control device. The hydrogen consumption device includes a release and fastening mechanism that releases the hydrogen tank from and fastens the hydrogen tank to the consumption device. The release and fastening mechanism includes a motor that controls the release and fastening of the hydrogen tank to and from the consumption device. If the torque value of the motor exceeds a threshold value during the control of the release and fastening of the hydrogen tank to and from the consumption device, the control device returns the hydrogen tank to a position in which a movement process is initiated that detects the threshold being exceeded.

The invention discloses an equivalent hydrogen energy consumption management method based on a self-adaptive regression rate, and the method comprises the steps: firstly measuring the real-time energy states of a storage battery and a hydrogen storage tank, the output power of a photovoltaic unit and the output power of a load unit in an electricity-hydrogen hybrid energy storage microgrid system, and calculating the vacancy power of a DC microgrid; secondly, determining an energy storage unit participating in the control of the electricity-hydrogen hybrid energy storage micro-grid system according to the vacancy power of the direct current micro-grid and the energy state of the energy storage unit within the limited range; then constructing a mathematical model of an equivalent hydrogen energy consumption management optimization problem, and determining a target function and constraint conditions; and finally, solving the mathematical model of the optimization problem, and determining an optimal output power reference value of each energy storage unit participating in control. The output power of the storage battery and the output power of the fuel battery are controlled in a coordinated mode, power balance and bus voltage stability in the micro-grid are maintained, and the operation economical efficiency of the electricity-hydrogen hybrid energy storage micro-grid system is improved.

The application provides a residual cruising range estimation method based on equivalent operation conditions of a vehicle-mounted hydrogen system, comprising: extracting features of current operation data of a target hydrogen energy vehicle to obtain a current user behavior portrait; inputting the current user behavior portrait and a driving mode to which the current user behavior portrait belongs into a pre-trained time series prediction model to obtain a predicted driving mode at a next time; reconstructing the predicted driving mode according to historical operation data corresponding to each driving mode to obtain reconstructed operation data under the predicted driving mode; determining feature behavior hydrogen consumption under the reconstructed operation data according to a mapping relationship between the reconstructed operation data and operation conditions and hydrogen consumption which is pre-constructed; and calculating a residual cruising range according to the feature behavior hydrogen consumption under the reconstructed operation data in a prediction time interval and a current residual hydrogen storage amount of the target hydrogen energy vehicle. The scheme introduces multi-dimensional user behavior to obtain reconstructed operation data more in line with the user driving style, thereby predicting the residual cruising range based on the reconstructed operation data, and improving the prediction accuracy and reliability.

This invention discloses a method for measuring the remaining hydrogen content in solid-state hydrogen storage, belonging to the field of solid-state hydrogen storage technology. The method includes calculating a first hydrogen consumption based on the specific power and voltage of the fuel cell stack; calculating a second hydrogen consumption based on the diameter and duty cycle of the exhaust valve, as well as pre-acquired ambient temperature and pressure; and finally calculating a first remaining hydrogen content based on the total hydrogen weight, the first hydrogen consumption, and the second hydrogen consumption. This invention calculates the hydrogen consumption at the hydrogen tail exhaust more accurately by using the parameters of the exhaust valve and environmental parameters, thereby obtaining a more accurate first remaining hydrogen content and achieving more precise remaining hydrogen content calibration. Furthermore, this invention obtains the second remaining hydrogen content based on the hydrogen pressure value and the pre-acquired hydrogen storage mass density of the hydrogen storage module, and uses the second remaining hydrogen content to calibrate the first remaining hydrogen content, thereby further improving the accuracy of remaining hydrogen content calibration.