CN-122008968-A - Method and system for predicting endurance performance of hydrogen fuel vehicle

CN122008968ACN 122008968 ACN122008968 ACN 122008968ACN-122008968-A

Abstract

The invention belongs to the technical field of safety monitoring of electric vehicles, and particularly relates to a method and a system for predicting the cruising performance of a hydrogen fuel vehicle, wherein the method comprises the steps of acquiring compression factors at all moments based on the absolute pressure and thermodynamic temperature at all moments after acquisition and pretreatment, and calculating the residual hydrogen mass at all moments; the method comprises the steps of constructing a road condition feature vector based on geographic information data, constructing a dynamic energy consumption model together with residual hydrogen quality, calculating an instantaneous hydrogen consumption rate based on the model and calculating a unit mileage energy consumption reference value, dividing a discrete road section based on the unit mileage energy consumption reference value, the residual hydrogen quality and the road condition feature vector, predicting the maximum endurance mileage by adopting a piecewise iterative algorithm and obtaining the residual mileage of a current road, comparing the maximum endurance mileage with the residual mileage, and setting endurance safety margin for triggering a grading energy management strategy. The method improves the accuracy of predicting the endurance performance of the hydrogen fuel vehicle.

Inventors

ZHANG LIXIAN
SHANG XIAOHUA
CHENG YUNFENG
MENG XIANGTAO
ZHANG KUN

Assignees

青岛美锦新能源汽车制造有限公司

Dates

Publication Date: 20260512
Application Date: 20260413

Claims (9)

1. The method for predicting the endurance performance of the hydrogen fuel vehicle is characterized by comprising the following steps of: Acquiring absolute pressure and thermodynamic temperature of gas in a high-pressure hydrogen storage bottle in a hydrogen fuel bus at each moment in real time, preprocessing, acquiring geographic information data according to a preset driving line of the hydrogen fuel bus and a GPS positioning system, constructing road condition feature vectors, acquiring compression factors at each moment based on the absolute pressure and thermodynamic temperature at each moment, and correcting a real gas state equation by combining the compression factors to obtain the residual hydrogen quality in the high-pressure hydrogen storage bottle at each moment; The method comprises the steps of obtaining output current and working temperature of a fuel cell stack, inquiring a polarization characteristic database to obtain single cell voltage and calculating total output electric power, obtaining auxiliary system power consumption in real time and calculating net output electric power and net efficiency factor, calculating an aging correction factor by combining accumulated driving range and aging sensitivity factor of a vehicle, constructing a calculation model of instantaneous hydrogen consumption rate by introducing the net efficiency factor and the aging correction factor based on Faraday law, calculating the instantaneous hydrogen consumption rate by using the model, and obtaining a unit mileage energy consumption reference value by combining a road condition characteristic vector; And when the cruising risk is identified, automatically triggering a grading energy management strategy and dynamically adjusting the operation parameters of the fuel cell system.
2. The method for predicting cruising performance of a hydrogen-fueled vehicle according to claim 1, wherein the road condition feature vector is , Calculating the distance from the travel path of the next preset bus stop according to the current position and the route stop map; extracting the average gradient from the current position to the next site according to the topographic data; the average speed is calculated based on the track data of the historical synchronization of the road section; is an index of time.
3. The method for predicting cruising performance of a hydrogen-fueled vehicle according to claim 1, wherein the obtaining the compression factor at each time based on the absolute pressure and the thermodynamic temperature at each time comprises: Pre-storing a compression factor data table of hydrogen under different pressures and temperatures, and carrying out interpolation inquiry in the data table according to absolute pressure and thermodynamic temperature to obtain the compression factor.
4. The method for predicting cruising performance of a hydrogen-fueled vehicle according to claim 1, wherein the obtaining the remaining hydrogen mass in the high-pressure hydrogen storage bottle at each moment comprises: ; In the formula, Is the first The residual hydrogen mass in the high-pressure hydrogen storage bottle at the moment; The internal gas of the high-pressure hydrogen storage bottle is at the first stage Absolute pressure at time; is the geometric volume of the high-pressure hydrogen storage bottle; The internal gas of the high-pressure hydrogen storage bottle is at the first stage Thermodynamic temperature at time; is the specific gas constant of hydrogen; Is the first A compression factor of time; Is a safety redundancy coefficient; is an index of time.
5. The method for predicting cruising performance of a hydrogen fuelled vehicle as claimed in claim 1 wherein said calculating an aging correction factor comprises: ; In the formula, Is an aging correction factor; Is an ageing sensitivity coefficient; Is the historical accumulated driving mileage; Is the maximum driving range.
6. The method for predicting cruising performance of a hydrogen fuelled vehicle as claimed in claim 1 wherein said calculating an instantaneous hydrogen consumption rate comprises: ; In the formula, Is the first Instantaneous hydrogen consumption rate of hydrogen-fuelled buses at time; Is the fuel cell system in the first The current output at the moment; Is the total number of cells in series in the fuel cell system; Is the molar mass of hydrogen; Is the Faraday constant; Is the fuel cell system in the first A net efficiency factor for time of day; is an aging correction factor; is an index of time.
7. The method for predicting cruising performance of a hydrogen-fueled vehicle according to claim 1, wherein the obtaining the unit mileage energy consumption reference value includes: ; In the formula, Is the first A unit mileage energy consumption reference value at a moment; the average speed is calculated based on the track data of the historical synchronization of the road section; extracting the average gradient from the current position to the next site according to the topographic data; Is the first Instantaneous hydrogen consumption rate of hydrogen-fuelled buses at time; is an index of time.
8. The hydrogen fuelled vehicle cruising performance prediction method according to claim 1 wherein the staged energy management strategy comprises: The system acquires the remaining physical mileage of the vehicle from the terminal in real time, takes the difference value between the maximum endurance mileage and the remaining mileage of the current line as the endurance safety margin, triggers a primary response to remind the driver of insufficient hydrogen fuel and generate a recommended highest cruising speed proposal value when the endurance safety margin is more than or equal to 0 km and less than or equal to 5 km, prompts the driver to smoothly drive, triggers a secondary response when the endurance safety margin is less than 0 km, immediately takes over authority, and executes a forced energy-saving strategy, namely forcibly reducing the maximum rotation speed of the air compressor, prohibiting the rapid acceleration behavior and forcing the hydrogen fuel bus to be in a low-energy consumption running state.
9. A hydrogen-fuelled vehicle endurance performance prediction system comprising a processor and a memory storing computer program instructions which when executed by the processor implement a hydrogen-fuelled vehicle endurance performance prediction method as claimed in any one of claims 1 to 8.

Description

Method and system for predicting endurance performance of hydrogen fuel vehicle Technical Field The invention relates to the technical field of safety monitoring of electric vehicles. More particularly, the invention relates to a method and a system for predicting the cruising performance of a hydrogen-fueled vehicle. Background The energy supply path of the hydrogen fuel cell automobile is that the hydrogen stored by a vehicle-mounted high-pressure hydrogen storage system is transmitted to the fuel cell system to react with oxygen electrochemically, so that the chemical energy is directly converted into electric energy to drive a motor to operate, the actual endurance mileage is influenced by the coupling of three core factors of high-pressure hydrogen storage physical characteristics, the nonlinear working condition characteristics of the fuel cell and dynamic change of road topological environment, and the accuracy prediction difficulty is obviously higher than that of the pure electric automobile. In the prior art, a static linear deduction method is generally adopted in a method for estimating the endurance mileage of the hydrogen fuel vehicle, and the method has the core flow that the mass of the residual hydrogen in a vehicle-mounted hydrogen storage cylinder is calculated through a real-time pressure value of the vehicle-mounted hydrogen storage cylinder based on an ideal gas state equation, then historical operation data of the vehicle such as an average energy consumption value in the latest 50 km driving mileage is called, and finally the result of dividing the mass of the residual hydrogen by the average energy consumption value is used as the theoretical endurance mileage of the vehicle. However, the existing method has the obvious defects in actual complex operation that firstly, the existing technology ignores the nonlinear fluctuation of the inherent property of the hydrogen, such as the quality, along with the change of temperature and gas cylinder pressure in a high-pressure environment, the deviation of the assumed condition of an ideal gas state equation and the actual working condition exists, so that the calculation accuracy of the storage capacity of the residual hydrogen is reduced, secondly, the average energy consumption value in the historical operation data of the vehicle only can reflect the energy consumption level of the past steady-state working condition, the nonlinear relation between the power and the efficiency of a fuel cell system cannot be reflected, and the existing and future road sections such as long-slope driving, road congestion and real-time energy consumption severe fluctuation caused by load change cannot be matched, so that the deviation between a continuous voyage prediction result and the actual driving mileage is larger, and the accuracy of continuous voyage performance of the hydrogen fuel vehicle is lower. Disclosure of Invention In order to solve the technical problems that the accuracy of predicting the cruising performance of the hydrogen fuel vehicle is low due to low calculation accuracy of the residual hydrogen mass, poor suitability of dynamic working conditions and insufficient influence of multi-factor coupling, the invention provides the following aspects. In a first aspect, the invention provides a hydrogen fuel vehicle endurance performance prediction method, which comprises the steps of collecting absolute pressure and thermodynamic temperature of gas in a high-pressure hydrogen storage bottle in a hydrogen fuel bus at each moment in real time, preprocessing, obtaining geographic information data and constructing road condition feature vectors according to a preset driving line and a GPS positioning system of the hydrogen fuel bus, obtaining compression factors at each moment based on the absolute pressure and thermodynamic temperature at each moment, correcting a real gas state equation by combining the compression factors to obtain residual hydrogen quality in the high-pressure hydrogen storage bottle, obtaining output current and working temperature of a fuel cell stack, inquiring a polarization characteristic database to obtain single cell voltage and calculate total output electric power, obtaining power consumption of an auxiliary system in real time and calculating a net output electric power and a net efficiency factor, combining a vehicle accumulated driving mileage and an aging sensitivity coefficient to calculate an aging correction factor, constructing a calculation model of an instantaneous hydrogen consumption rate based on Faraday law, calculating an instantaneous hydrogen consumption rate by using the model, obtaining a unit energy consumption reference value by combining the road condition feature vectors, dividing the unit energy consumption by a unit consumption level into a maximum value, calculating the maximum consumption level by using the unit energy consumption level and a maximum consumption level, calculating the m