New energy vehicle power DCDC conversion economic loss calculation system and method
By designing new energy vehicle power DCDC conversion economy loss calculation system, using simulation data to calculate the economic results of power DCDC conversion, solve the difficulty in existing technology in the process of new energy vehicle development. The problem has achieved efficient economic assessment and calibration.
Patent Information
- Application Number
- CN202411378261.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-01-28
AI Technical Summary
The prior art is difficult to accurately evaluate the economics of power DCDC conversion before vehicle assembly in the process of new energy vehicle development through simulation calculations, resulting in low calibration efficiency of new energy vehicle-related functional points.
Design a new energy vehicle power DCDC conversion economic loss calculation system, including fan power acquisition module, pump power acquisition module, wind drum power acquisition module, power access power acquisition module, and simulation current acquisition module. Tables and models, using simulation data to calculate the economic results of the power DCDC conversion.
The economy of accurately assessing power DCDC conversion through simulation computing before real car production has been realized, and the calibration efficiency of new energy vehicle -related functional points has been improved, and the economic and development efficiency of the power DCDC conversion system is enhanced.
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Figure CN119378212A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of new energy vehicle simulation, and in particular to a system and method for calculating economic loss of DC-DC conversion of power of new energy vehicles. Background Art
[0002] At present, in the development process of new energy vehicles, the determination of the power DCDC (direct current to direct current) conversion economy is to use the actual vehicle to obtain relevant economic information using current clamps and other testing tools, and then calibrate the economy of the whole vehicle based on the obtained power DCDC conversion economy information. Although this method has real signals, it must rely on the actual vehicle, and the economic calculation cannot be performed before the vehicle is assembled, which reduces the calibration efficiency of relevant functional points of new energy vehicles.
[0003] As the development cycle of new energy vehicles continues to shorten, new energy vehicle simulation testing has been widely used in the industry. How to use new energy vehicle simulation testing technology to calculate the economic loss of energy flow in the power system has become a technical problem that needs to be solved urgently. Summary of the invention
[0004] The purpose of the present invention is to provide a system and method for calculating the economic loss of power DCDC conversion of new energy vehicles. The present invention can accurately obtain the economic results of power DCDC conversion by simulation calculation before the actual vehicle is produced, thereby improving the calibration efficiency of relevant functional points of new energy vehicles.
[0005] To achieve this purpose, the present invention is a system for calculating the economic loss of DCDC conversion of new energy vehicle power, which includes:
[0006] The fan power acquisition module establishes a fan power table according to the fan power modeling simulation data, the frequency of the fan PWM (Pulse Width Modulation) signal, and the fan speed value, and obtains the fan power by looking up the table through the frequency of the fan PWM signal;
[0007] The water pump power acquisition module establishes a water pump power table based on the water pump power modeling simulation data, the use frequency of the water pump PWM signal, and the duty cycle of the water pump PWM signal, and obtains the water pump power by looking up the table of the duty cycle of the water pump PWM signal;
[0008] The blower power acquisition module obtains the weight of each gear of the blower in the complete cycle of the vehicle according to the blower power modeling simulation data, the number of times the blower in different gears is used in the complete cycle of the vehicle, and the duration of the different gears of the blower, and establishes a query table of the weight and the blower power, and obtains the blower power by looking up the table of the blower gear;
[0009] The power acquisition module for the electric accessories divides the change intervals of the power of the corresponding electric accessories between different models into the first change interval, the second change interval and the third change interval according to the set threshold value according to the degree of change of various electric accessory controllers of different models, and calculates the corresponding power of the electric accessories according to the power calculation methods corresponding to the different change intervals;
[0010] The simulation current acquisition module obtains the working current of the low-voltage accessories according to the fan power, water pump power, blower power, power of the electrical accessories and the battery pack voltage.
[0011] Preferably, the fan power modeling simulation data is obtained through a fan power model, and the fan power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body, and the vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and fan PWM signal duty cycle are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0012] Preferably, the water pump power modeling simulation data is obtained through the water pump power model, and the water pump power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body, and the vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and water pump PWM signal duty cycle are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0013] Preferably, the blower power modeling simulation data is obtained through a blower power model, and the blower power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body, and the vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables, blower gear and gear usage frequency are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0014] Preferably, the electrical accessory power modeling simulation data is obtained through the electrical accessory power model, and the electrical accessory power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body, and the vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and power calculation methods corresponding to different change intervals are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0015] Preferably, the simulation current acquisition module is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation and the working current calculation variables of the low-voltage accessories are taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body and the global variables are written into the same file, and a working current calculation model for the low-voltage accessories is established and loaded before the working current calculation model of the low-voltage accessories is run. A working current calculation unit of the low-voltage accessories is implanted in the working current calculation model of the low-voltage accessories. The working current calculation variables of the low-voltage accessories are fan power, water pump power, blower power, power accessory power and battery pack voltage.
[0016] A method for calculating the economic loss of DCDC conversion of power of new energy vehicles, comprising the following steps:
[0017] A fan power table is established based on the fan power modeling simulation data, the frequency of use of the fan PWM signal, and the speed value of the fan, and the fan power is obtained by looking up the table by the frequency of use of the fan PWM signal;
[0018] A water pump power table is established based on the water pump power modeling simulation data, the usage frequency of the water pump PWM signal, and the duty cycle of the water pump PWM signal. The water pump power is obtained by looking up the table of the duty cycle of the water pump PWM signal.
[0019] The weight of each gear of the blower in the complete cycle of the vehicle is obtained according to the blower power modeling simulation data, the number of times the blower in different gears is used in the complete cycle of the vehicle, and the duration of the blower in different gears. A lookup table of the weight and the blower power is established, and the blower power is obtained by looking up the table of the blower gear.
[0020] According to the degree of change of various power-consuming accessory controllers of different models, the change interval of the power of corresponding power-consuming accessories between different models is divided into a first change interval, a second change interval and a third change interval according to a set threshold, and the corresponding power of the power-consuming accessories is calculated according to the power calculation method corresponding to the different change intervals;
[0021] The working current of the low-voltage accessories is obtained according to the fan power, water pump power, blower power, power of the electrical accessories and the battery pack voltage.
[0022] A computer program product comprises a computer program, wherein when the computer program is executed by a processor, the steps of the method described in claim 1 are implemented.
[0023] Beneficial effects of the present invention:
[0024] The present invention provides a simulation environment, which simulates the power DCDC conversion under different working conditions by establishing data related to the operation of the actual vehicle and the economy. This calibration scheme does not rely on the actual vehicle. By establishing a simulation environment for the operation of the actual new energy vehicle, relevant information related to the power DCDC conversion economy is obtained using relevant detection equipment, and calibration work is performed on relevant functional points of the new energy vehicle for the economy calculation of the power DCDC conversion system. By establishing a simulation environment, the deficiencies in the economic calculation of the power DCDC conversion system in the prior art are solved, and a method for performing a power DCDC conversion system before the actual vehicle development is provided, which helps to improve the economy and development efficiency of the power DCDC conversion system of the new energy vehicle. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 It is a structural schematic diagram of the present invention;
[0026] Figure 2 Schematic diagram of the calculation method of the present invention. DETAILED DESCRIPTION
[0027] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0028] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments:
[0029] Example 1
[0030] A system for calculating the economic loss of DCDC conversion of new energy vehicle power, such as Figure 1 , which includes:
[0031] The fan power acquisition module establishes a fan power table according to the fan power modeling simulation data, the frequency of use of the fan PWM signal, and the speed value of the fan, and obtains the fan power by looking up the table through the frequency of use of the fan PWM signal;
[0032] The water pump power acquisition module establishes a water pump power table based on the water pump power modeling simulation data, the use frequency of the water pump PWM signal, and the duty cycle of the water pump PWM signal, and obtains the water pump power by looking up the table of the duty cycle of the water pump PWM signal;
[0033] The blower power acquisition module obtains the weight of each gear of the blower in the complete cycle of the vehicle according to the blower power modeling simulation data, the number of times the blower in different gears is used in the complete cycle of the vehicle, and the duration of the different gears of the blower, and establishes a query table of the weight and the blower power, and obtains the blower power by looking up the table of the blower gear;
[0034] The power acquisition module for the electric accessories divides the change intervals of the power of the corresponding electric accessories between different models into the first change interval, the second change interval and the third change interval according to the set threshold value according to the degree of change of various electric accessory controllers of different models, and calculates the corresponding power of the electric accessories according to the power calculation methods corresponding to the different change intervals;
[0035] The simulation current acquisition module obtains the working current of the low-voltage accessories according to the fan power, water pump power, blower power, power of the electrical accessories and the battery pack voltage.
[0036] In the above technical scheme, the fan power modeling simulation data is obtained through the fan power model, and the fan power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body, and the vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and fan PWM signal duty cycle are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0037] In the above technical scheme, the water pump power modeling simulation data is obtained through the water pump power model, and the water pump power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body, and the vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and water pump PWM signal duty cycle are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0038] In the above technical scheme, the blower power modeling simulation data is obtained through the blower power model. The blower power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables, blower gear and gear usage frequency are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0039] In the above technical scheme, the simulation data of the power modeling of the electrical accessories is obtained through the power model of the electrical accessories. The power model of the electrical accessories is built using data modeling software. When building, the simulation environment of the whole vehicle operation is taken as the main body, and the vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and power calculation methods corresponding to different change intervals are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0040] In the above technical scheme, the simulation current acquisition module is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation and the working current calculation variables of the low-voltage accessories are taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body and the global variables are written into the same file, and a working current calculation model for the low-voltage accessories is established and loaded before the working current calculation model of the low-voltage accessories is run. A working current calculation unit of the low-voltage accessories is implanted in the working current calculation model of the low-voltage accessories. The working current calculation variables of the low-voltage accessories are fan power, water pump power, blower power, power accessory power and battery pack voltage.
[0041] In the above technical solution, each module is obtained by establishing different models, which is conducive to simulation of different vehicles on different platforms. After inputting the changed data, simulation testing can be carried out directly without changing the simulation model.
[0042] In the above technical solution, the fan power modeling simulation data is obtained according to the duty cycle of the fan PWM signal; the water pump power modeling simulation data is obtained according to the duty cycle of the water pump PWM signal.
[0043] In the above technical scheme, the fan power acquisition module establishes a fan power table according to the fan power modeling simulation data, the usage frequency of the fan PWM signal, the fan PWM signal duty cycle and the fan speed value in the following manner: the usage frequency of the fan PWM signal is divided, and the PWM signal usage frequency band with a usage frequency higher than 80% is divided into a first fan PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency of 50% to 80% is divided into a second fan PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency of 30% to 50% is divided into a third fan PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency lower than 30% is divided into a fourth fan PWM usage frequency interval, and a fan power table is established using the fan power modeling simulation data and fan speed values corresponding to each fan PWM usage frequency interval.
[0044] In the above technical solution, the specific algorithm for the fan power acquisition module to acquire power in different intervals is: for the interval of the PWM frequency band where the fan PWM usage frequency is higher than 80%, the interval algorithm is: find the average value of PWM, find the difference between each PWM and the average value, and the difference A where this difference falls in the 80% segment is used as the interval of this interval, and establish a lookup table, that is, the horizontal coordinate of the lookup table, the interval between two adjacent PWM values is the difference A, and use the difference algorithm to fill in the speed values corresponding to the PWM of all horizontal coordinates;
[0045] The fan PWM frequency is in the PWM frequency band of 50% to 80%. The interval algorithm is as follows: find the average value of PWM, find the difference between each PWM and the average value, and the difference value B that falls in the 60% segment is used as the interval of this interval. A lookup table is established, that is, the horizontal coordinate of the lookup table. The interval between two adjacent PWM values is the difference value B. Use the difference algorithm to fill in the speed values corresponding to all the PWM values of the horizontal coordinates.
[0046] The fan PWM frequency is in the PWM frequency band of 30% to 50%. The interval algorithm is as follows: find the average value of PWM, find the difference between each PWM and the average value, and use the difference C where this difference falls in the 50% segment as the interval of this interval. Establish a lookup table, that is, the horizontal coordinate of the lookup table. The interval between two adjacent PWM values is the difference C. Use the difference algorithm to fill in the speed values corresponding to all the PWM values of the horizontal coordinates.
[0047] For the fan PWM frequency band interval below 30%, the interval algorithm is as follows: find the average value of PWM, find the difference between each PWM and the average value, and use the difference D where the difference falls within the 50% segment as the interval of this interval. Establish a lookup table, i.e., the horizontal coordinate of the lookup table. The interval between two adjacent PWM values is the difference D. Use the difference algorithm to fill in the speed values corresponding to all the PWM values on the horizontal coordinates.
[0048] The fan power modeling simulation data and fan speed values corresponding to the above four fan PWM frequency ranges are used to establish a fan power table, which is placed in the simulation model for table lookup.
[0049] In the above technical scheme, the specific method for the water pump power acquisition module to establish a water pump power table according to the water pump power modeling simulation data, the usage frequency of the water pump PWM signal, and the duty cycle of the water pump PWM signal is: the usage frequency of the water pump PWM signal is divided, and the PWM signal usage frequency band with a usage frequency higher than 80% is divided into the first water pump PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency of 50% to 80% is divided into the second water pump PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency of 30% to 50% is divided into the third water pump PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency lower than 30% is divided into the fourth water pump PWM usage frequency interval, and the water pump power table is established according to the water pump power modeling simulation data and the water pump PWM signal duty cycle corresponding to each water pump PWM usage frequency interval.
[0050] In the above technical solution, the specific algorithm for the water pump power acquisition module to acquire power in different intervals is: for the interval of the PWM frequency band where the water pump PWM usage frequency is higher than 80%, the interval algorithm is: find the average value of PWM, find the difference between each PWM and the average value, and the difference A where this difference falls in the 80% segment is used as the interval of this interval, and establish a lookup table, that is, the horizontal coordinate of the lookup table, the interval between two adjacent PWM values is the difference A, and use the difference algorithm to fill in the speed values corresponding to the PWM of all horizontal coordinates;
[0051] The interval algorithm for the PWM frequency of the water pump is between 50% and 80% of the PWM frequency band: find the average value of PWM, find the difference between each PWM and the average value, and use the difference value B in the 60% segment as the interval of this interval. Establish a lookup table, that is, the horizontal coordinate of the lookup table. The interval between two adjacent PWM values is the difference value B. Use the difference algorithm to fill in the speed values corresponding to all the PWM values of the horizontal coordinates.
[0052] The interval algorithm for the PWM frequency of the water pump is between 30% and 50% of the PWM frequency band: find the average value of PWM, find the difference between each PWM and the average value, and use the difference C where this difference falls in the 50% segment as the interval of this interval. Establish a lookup table, i.e., the horizontal coordinate of the lookup table. The interval between two adjacent PWM values is the difference C. Use the difference algorithm to complete the speed values corresponding to the PWM of all horizontal coordinates.
[0053] For the interval of the PWM frequency band where the pump PWM frequency is lower than 30%, the interval algorithm is as follows: find the average value of PWM, find the difference between each PWM and the average value, and use the difference D where this difference falls in the 50% segment as the interval of this interval, and establish a lookup table, that is, the horizontal coordinate of the lookup table. The interval between two adjacent PWM values is the difference D. Use the difference algorithm to fill in the speed values corresponding to all the PWM values of the horizontal coordinates;
[0054] The water pump power modeling simulation data and the water pump PWM signal duty cycle corresponding to the above four intervals are used to establish a water pump power table, which is placed in the simulation model for table lookup.
[0055] In the above technical solution, compared with directly obtaining the power value, the power values obtained by the fan power acquisition module and the water pump power acquisition module according to the division of the PWM usage frequency interval are more accurate, and the power values obtained by dividing the PWM usage frequency interval can better assist in the calculation of the energy of the whole vehicle; according to different working conditions, the power consumption mode and habit interval of its power-consuming components will be different. If a new model of the model or platform is replaced, the simulation data and power consumption habit interval of the previous model can still be used as a reference, which is helpful to calculate the economic loss and reduce development time and cost.
[0056] In the above technical solution, the blower power acquisition module obtains the weight of each gear of the blower in the complete cycle of the vehicle according to the blower power modeling simulation data, the number of times the different gears of the blower are used under the complete cycle of the vehicle, and the duration of the different gears of the blower, and establishes a query table of the weight and the blower power in the following manner: the N gears of the blower correspond to the blower powers obtained from different N experiments, respectively. When the vehicle completes a complete cycle of the vehicle, the weight of each gear of the blower in the complete cycle of the vehicle is calculated by the number of times the blower gear is used and the duration of the gear;
[0057] Weight Q = gear score M / total score
[0058] Among them, the gear score M is obtained by scoring the number of times the blower gear is used and the gear duration, and the total score is the sum of the scores of all gears;
[0059] The weights are divided into intervals, with weights Q ≥ 70% being divided into the first weight interval; weights 70% > Q ≥ 30% being divided into the second weight interval; and weights Q < 30% being divided into the third weight interval, and a lookup table of weights and blower powers corresponding to the gears and blower powers of the three weight intervals is established.
[0060] In the above technical solution, the specific algorithm for the blower power acquisition module to acquire power at different gears is as follows: after the vehicle has completed a complete cycle, the number of times the blower gear is used and the gear duration will fall in each grid of the table, as shown in Table 1 below:
[0061] Table 1 is a comparison table of the number of times the blower gear is used and the gear duration;
[0062]
[0063]
[0064] Add the scores of the horizontal and vertical axes to get a score M. The total score of this table is 12 points. The weight is calculated based on the score M and the total score:
[0065] The weight Q of each gear in a complete vehicle cycle condition = gear score M / 12 points;
[0066] When the weight Q ≥ 70%, the gears in this interval are divided as follows: For example, if there are 3 gears in this interval, then the difference between these three gears and the other gears must be supplemented, and the power value corresponding to each 0.5 gear is provided to the vehicle controller for use, that is, the vehicle controller sends out which gear the blower needs to work, which can be accurate to 0.5, to prevent the blower from frequently adjusting gears for precise control;
[0067] When the weight 70%>Q≥30%, the gears falling in this interval are divided as follows: For example, if there are 2 gears falling in this interval, then in the area between these two gears and other gears, according to the frequent jumping degree of the gears (that is, the two gears jump frequently and continuously for more than 3 times in one cycle), the power value corresponding to every 0.5 gear of the supplementary difference is provided to the vehicle controller for use, that is, the vehicle controller sends out which gear of the blower is needed to work, which can be accurate to 0.5, to prevent the blower from frequently adjusting the gear for precise control;
[0068] When the weight Q is less than 30%, it indicates that the utilization rate is low. The experimental data of power is checked according to the gear position and remains unchanged.
[0069] In the above technical solution, the power obtained by dividing the gears into weight intervals is more accurate than the data obtained by directly obtaining the power. It can assist in the calculation of the energy of the whole vehicle and obtain the power consumption pattern of the vehicle, which can serve as a reference for the first simulation of the next new model.
[0070] In the above technical solution, the working current calculation formula of the low-voltage accessories included in the working current calculation unit of the low-voltage accessories is:
[0071] I 低压附件的工作电流 =(P 水泵 +P 风扇 +P 鼓风机 +P 附件 ) / V Bat
[0072] Among them, I 低压附件的工作电流 is the input current of DCDC, that is, the sum of the working currents of fans, water pumps, blowers and electrical accessories, P 水泵 is the pump power, P 风扇 is the fan power, P 鼓风机 is the blower power, P附件 is the power of the electrical accessories, V Bat is the battery pack voltage.
[0073] In the above technical solution, the power acquisition module for electrical accessories divides the change intervals according to the degree of change of various electrical accessory controllers of different vehicle models, which can more accurately reflect the power consumption trend of electrical components.
[0074] In the above technical solution, the specific method of dividing the different intervals of the power acquisition module of the power-consuming accessory is as follows:
[0075] The change in the power of corresponding electrical accessories between different models is the rated power change rate when different models use the same electrical accessory. The change intervals are divided according to the rated power change rate: the rated power change rate of 100% to 60% is divided into the first change interval; the rated power change rate of 60% to 30% is divided into the second change interval; the rated power change rate of 30% to 0% is divided into the third change interval.
[0076] In the above technical solution, the specific algorithm for the power acquisition module of the power-consuming accessory to acquire power in different intervals is:
[0077] A database is established according to different interval types for the power of three electrical accessories. In the first change interval, the power of the electrical accessories in the first change interval is obtained based on which electrical devices are connected and how much power they have, and then the power of the connected electrical devices is added up; in the second change interval, the power of different controllers is obtained by querying the experimental data based on the experimental data of components obtained from simulation experiments. Among them, if a controller is a brand-new controller, the power of the controller is obtained by taking the average of the powers of two similar controllers based on the hardware characteristics of the controller; in the third change interval, the power of different controllers is obtained by querying the experimental data based on the experimental data of components obtained from simulation experiments.
[0078] In the above technical solution, the simulation environment of the whole vehicle operation includes vehicle driving, vehicle braking, vehicle operation environment and driver model.
[0079] In the above technical solution, the original data of all experimental data need to be measured in three environments: low temperature, normal temperature and high temperature, and then the above test data are corrected and used.
[0080] In the above technical solution, the working current of the low-voltage accessory obtained by the simulation current calculation unit is integrated with time to obtain the energy of the first simulation power DCDC conversion, that is, the power consumption of the low-voltage accessories of the vehicle at every moment in a working cycle is added, which is also the actual power consumption of the DCDC conversion. Among them, the working current of the low-voltage accessory is integrated with time. The calculation formula is:
[0081] SOC=∫Idt
[0082] Among them, SOC is the energy converted by the power DCDC, and I is the working current of the low-voltage accessories.
[0083] In the above technical solution, after the first simulation is completed and the actual vehicle is installed, the simulation current and working voltage are tested and the difference is calculated. The power results are shown in Table 2:
[0084] Table 2 is a comparison table of simulation data and real vehicle collection data;
[0085] Simulation data (power) Real vehicle data collection (power) fan A1 A2 Water Pump B1 B2 Blower C1 C2 Small electrical accessories D1 D2
[0086] Among them, the calculation method for testing the simulation current and working voltage is:
[0087] P simulated power = I simulated current * U working voltage
[0088] P actual vehicle power = I actual vehicle collected current * U working voltage
[0089] The above-mentioned I simulation current is the working current of the low-voltage accessory obtained by the simulation current calculation unit.
[0090] The second simulation uses the correction value collected from the first real vehicle. The correction value algorithm is as follows:
[0091] When it is calculated that the fan has a current difference, that is, a=A1-A2, it is checked whether the power corresponding to the PWM curve used by the fan is different in the vehicle cycle. If different, it is determined whether the fan has undergone product changes. If the same, it is determined to be a product consistency difference, and the average value of the simulation and actual vehicle test data is used as the usage value for the next simulation.
[0092] The third simulation, with simulation data and experimental data:
[0093] When the simulation data and the real vehicle data are consistent, they are directly adopted;
[0094] When the simulation data and the actual vehicle data change, but the product and vehicle controller strategy do not change, the average value of the simulation and actual vehicle data is used;
[0095] When only the vehicle controller strategy changes, simulation needs to be performed according to the first method;
[0096] When only the product changes, the calculation is performed according to the first simulation method;
[0097] When both product and vehicle strategies change, calculations are performed using the first simulation method.
[0098] In the above technical solution, the calculation of the low-voltage direct current DCDC energy conversion of the whole vehicle is calculated without correction in the first simulation calculation, and the second calculation must be corrected by the actual vehicle. The corrected data is classified and entered into the database for the next simulation calculation, so that subsequent calculations will be corrected according to historical data and will become more and more accurate.
[0099] Example 2
[0100] A method for calculating the economic loss of DCDC conversion of new energy vehicle power, such as Figure 2 As shown, the fan power modeling simulation data is obtained through the fan power model. The fan power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables, and fan PWM signal duty cycle are written into the same file to establish a simulation data model and load it before the simulation data model is run.
[0101] The water pump power modeling simulation data is obtained through the water pump power model. The water pump power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and water pump PWM signal duty cycle are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0102] The blower power modeling simulation data is obtained through the blower power model. The blower power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables, blower gear and gear usage frequency are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0103] The electrical accessory power modeling simulation data is obtained through the electrical accessory power model, and the electrical accessory power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body, and the vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and power calculation methods corresponding to different change intervals are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
[0104] The simulation current acquisition module is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation and the working current calculation variables of the low-voltage accessories are taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body and the global variables are written into the same file, and a working current calculation model for the low-voltage accessories is established and loaded before the working current calculation model of the low-voltage accessories is run. The working current calculation model of the low-voltage accessories is implanted with a working current calculation unit of the low-voltage accessories. The working current calculation variables of the low-voltage accessories are fan power, water pump power, blower power, power accessory power, and battery pack voltage.
[0105] The specific calculation method of economic simulation includes the following steps:
[0106] A fan power table is established based on the fan power modeling simulation data, the frequency of use of the fan PWM signal, and the speed value of the fan, and the fan power is obtained by looking up the table by the frequency of use of the fan PWM signal;
[0107] A water pump power table is established based on the water pump power modeling simulation data, the usage frequency of the water pump PWM signal, and the duty cycle of the water pump PWM signal. The water pump power is obtained by looking up the table of the duty cycle of the water pump PWM signal.
[0108] The weight of each gear of the blower in the complete cycle of the vehicle is obtained according to the blower power modeling simulation data, the number of times the blower in different gears is used in the complete cycle of the vehicle, and the duration of the blower in different gears. A lookup table of the weight and the blower power is established, and the blower power is obtained by looking up the table of the blower gear.
[0109] According to the degree of change of various power-consuming accessory controllers of different models, the change interval of the power of corresponding power-consuming accessories between different models is divided into a first change interval, a second change interval and a third change interval according to a set threshold, and the corresponding power of the power-consuming accessories is calculated according to the power calculation method corresponding to the different change intervals;
[0110] The working current of the low-voltage accessories is obtained according to the fan power, water pump power, blower power, power of the electrical accessories and the battery pack voltage.
[0111] Example 3
[0112] A computer program product includes a computer program, and when the computer program is executed by a processor, the system described in Example 2 is implemented.
[0113] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
[0114] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0115] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or multiple boxes.
[0116] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction system, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0117] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0118] The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field.
Claims
1. A system for calculating the economic loss of DCDC conversion of power of new energy vehicles, characterized in that: It includes: The fan power acquisition module establishes a fan power table according to the fan power modeling simulation data, the frequency of use of the fan PWM signal, and the speed value of the fan, and obtains the fan power by looking up the table through the frequency of use of the fan PWM signal; The water pump power acquisition module establishes a water pump power table based on the water pump power modeling simulation data, the use frequency of the water pump PWM signal, and the duty cycle of the water pump PWM signal, and obtains the water pump power by looking up the table of the duty cycle of the water pump PWM signal; The blower power acquisition module obtains the weight of each gear of the blower in the complete cycle of the vehicle according to the blower power modeling simulation data, the number of times the blower in different gears is used in the complete cycle of the vehicle, and the duration of the different gears of the blower, and establishes a query table of the weight and the blower power, and obtains the blower power by looking up the table of the blower gear; The power acquisition module for the electric accessories divides the change intervals of the power of the corresponding electric accessories between different models into the first change interval, the second change interval and the third change interval according to the set threshold value according to the degree of change of various electric accessory controllers of different models, and calculates the corresponding power of the electric accessories according to the power calculation methods corresponding to the different change intervals; The simulation current acquisition module obtains the working current of the low-voltage accessories according to the fan power, water pump power, blower power, power of the electrical accessories and the battery pack voltage.
2. The new energy vehicle power DCDC conversion economic loss calculation system according to claim 1 is characterized by: The fan power modeling simulation data is obtained through the fan power model. The fan power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and fan PWM signal duty cycle are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
3. The new energy vehicle power DCDC conversion economic loss calculation system according to claim 1 is characterized by: The water pump power modeling simulation data is obtained through the water pump power model. The water pump power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and water pump PWM signal duty cycle are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
4. The new energy vehicle power DCDC conversion economic loss calculation system according to claim 1 is characterized by: The blower power modeling simulation data is obtained through the blower power model. The blower power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables, blower gear and gear usage frequency are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
5. The new energy vehicle power DCDC conversion economic loss calculation system according to claim 1 is characterized by: The electrical accessory power modeling simulation data is obtained through the electrical accessory power model, and the electrical accessory power model is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation is taken as the main body, and the vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body, global variables and power calculation methods corresponding to different change intervals are written into the same file, and a simulation data model is established and loaded before the simulation data model is run.
6. The new energy vehicle power DCDC conversion economic loss calculation system according to claim 1 is characterized by: The simulation current acquisition module is built using data modeling software. During the construction, the simulation environment of the whole vehicle operation and the working current calculation variables of the low-voltage accessories are taken as the main body. The vehicle appearance parameters, power domain motor power, and battery power that are included in different models and have different values for different models are used as global variables. The main body and the global variables are written into the same file, and a working current calculation model for the low-voltage accessories is established and loaded before the working current calculation model of the low-voltage accessories is run. The working current calculation model of the low-voltage accessories is implanted with a working current calculation unit of the low-voltage accessories. The working current calculation variables of the low-voltage accessories are fan power, water pump power, blower power, power accessory power, and battery pack voltage.
7. The new energy vehicle power DCDC conversion economic loss calculation system according to claim 1 is characterized by: The fan power acquisition module establishes a fan power table according to the fan power modeling simulation data, the usage frequency of the fan PWM signal, the fan PWM signal duty cycle and the fan speed value in the following manner: the usage frequency of the fan PWM signal is divided, and the PWM signal usage frequency band with a usage frequency higher than 80% is divided into the first fan PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency between 50% and 80% is divided into the second fan PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency between 30% and 50% is divided into the third fan PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency lower than 30% is divided into the fourth fan PWM usage frequency interval, and the fan power modeling simulation data and fan speed values corresponding to each fan PWM usage frequency interval are used to establish a fan power table.
8. The new energy vehicle power DCDC conversion economic loss calculation system according to claim 1 is characterized by: The specific method for the water pump power acquisition module to establish a water pump power table according to the water pump power modeling simulation data, the usage frequency of the water pump PWM signal, and the duty cycle of the water pump PWM signal is as follows: the usage frequency of the water pump PWM signal is divided, and the PWM signal usage frequency band with a usage frequency higher than 80% is divided into the first water pump PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency of 50% to 80% is divided into the second water pump PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency of 30% to 50% is divided into the third water pump PWM usage frequency interval; the PWM signal usage frequency band with a usage frequency lower than 30% is divided into the fourth water pump PWM usage frequency interval, and the water pump power modeling simulation data and the water pump PWM signal duty cycle corresponding to each water pump PWM usage frequency interval are used to establish a water pump power table.
9. The new energy vehicle power DCDC conversion economic loss calculation system according to claim 1 is characterized by: The blower power acquisition module obtains the weight of each gear of the blower in the vehicle complete cycle working condition according to the blower power modeling simulation data, the number of times the blower different gears are used in the vehicle complete cycle working condition and the duration of the different gears of the blower. The method of establishing the lookup table of the weight and the blower power is as follows: the N gears of the blower correspond to the blower powers obtained from different N experiments respectively. When the vehicle completes a vehicle complete cycle working condition, the weight of each gear of the blower in the vehicle complete cycle working condition is calculated by the number of times the blower gear is used and the gear duration. Weight Q = gear score M / total score Among them, the gear score M is obtained by scoring the number of times the blower gear is used and the gear duration, and the total score is the sum of the scores of all gears; The weights are divided into intervals, with weights Q ≥ 70% being divided into the first weight interval; weights 70% > Q ≥ 30% being divided into the second weight interval; and weights Q < 30% being divided into the third weight interval, and a lookup table of weights and blower powers corresponding to the gears and blower powers of the three weight intervals is established.
10. The new energy vehicle power DCDC conversion economic loss calculation system according to claim 6 is characterized by: The working current calculation formula of the low-voltage accessories included in the working current calculation unit of the low-voltage accessories is: I 低压附件的工作电流 =(P 水泵 +P 风扇 +P 鼓风机 +P 附件 ) / V Bat Among them, I 低压附件的工作电流 P is the input current of DCDC, which is the sum of the working currents of fans, water pumps, blowers and electrical accessories. 水泵 is the pump power, P 风扇 is the fan power, P 鼓风机 is the blower power, P 附件 is the power of the electrical accessories, V Bat is the battery pack voltage.
11. A method for calculating the economic loss of DCDC conversion of new energy vehicle power, characterized in that: It follows the steps: A fan power table is established based on the fan power modeling simulation data, the frequency of use of the fan PWM signal, and the speed value of the fan, and the fan power is obtained by looking up the table by the frequency of use of the fan PWM signal; A water pump power table is established based on the water pump power modeling simulation data, the usage frequency of the water pump PWM signal, and the duty cycle of the water pump PWM signal. The water pump power is obtained by looking up the table of the duty cycle of the water pump PWM signal. The weight of each gear of the blower in the complete cycle of the vehicle is obtained according to the blower power modeling simulation data, the number of times the blower in different gears is used in the complete cycle of the vehicle, and the duration of the blower in different gears. A lookup table of the weight and the blower power is established, and the blower power is obtained by looking up the table of the blower gear. According to the degree of change of various power-consuming accessory controllers of different models, the change interval of the power of corresponding power-consuming accessories between different models is divided into a first change interval, a second change interval and a third change interval according to a set threshold, and the corresponding power of the power-consuming accessories is calculated according to the power calculation method corresponding to the different change intervals; The working current of the low-voltage accessories is obtained according to the fan power, water pump power, blower power, power of the electrical accessories and the battery pack voltage.
12. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method described in claim 11 are implemented.