Vehicle battery output power optimization method and device, equipment and storage medium

Abstract

The invention provides a vehicle battery output power optimization method and device, equipment and a storage medium, and the method comprises the steps: obtaining current environment parameters and battery state parameters of a vehicle; correcting the air density of the current position based on the environmental parameters; determining the current actual residual electric quantity of the vehicle battery based on the environmental parameters and the battery state parameters; based on the actual residual electric quantity and the corrected air density, a relation function of the vehicle running speed and the residual electric quantity travelable distance is constructed; solving the relation function by taking a preset speed range and the maximum discharge power of the vehicle battery as constraint conditions, and determining the optimal driving speed corresponding to the maximum driving distance of the vehicle; and adjusting the output power of the vehicle battery based on the optimal driving speed. By adopting the method, the energy utilization efficiency of the vehicle battery is improved, and the accuracy and reliability of vehicle driving are improved.

Description

Technical Field

[0001] The present invention relates to the field of vehicle automatic driving control, and in particular to a vehicle battery output power optimization method, device, equipment and storage medium. Background Art

[0002] With the development of new energy vehicle technology, autonomous driving systems have shown significant advantages in improving traffic efficiency and safety. In traditional autonomous driving mode, vehicles often travel at a constant speed. This control strategy simplifies system logic, but has significant limitations from the perspective of energy management.

[0003] Specifically, the constant speed driving strategy in the traditional autonomous driving mode fails to dynamically adjust according to changes in environmental parameters and battery status, resulting in low energy utilization efficiency. In addition, when calculating the driving distance, the existing technology often ignores the impact of environmental factors such as wind speed, air density, temperature, and humidity on battery output power and driving distance, resulting in inaccurate calculation results. In addition, in terms of battery management, the existing technology fails to fully consider factors such as the number of battery cycles, temperature influence factors, humidity influence factors, and cycle capacity attenuation coefficient, resulting in inaccurate estimates of the battery's current available rated capacity. Summary of the invention

[0004] In view of this, an object of the present invention is to provide a vehicle battery output power optimization method, device, equipment and storage medium to improve the energy utilization efficiency of the vehicle battery and improve the accuracy and reliability of vehicle driving.

[0005] In a first aspect, an embodiment of the present application provides a method for optimizing vehicle battery output power, the method comprising: Obtain the vehicle's current environmental parameters and battery status parameters; Correcting the air density at the current location based on the environmental parameters; Determine the actual remaining power of the vehicle battery based on the environmental parameter and the battery status parameter; Constructing a relationship function between the vehicle's driving speed and the remaining driving distance based on the actual remaining power and the corrected air density; Solving the relationship function with a preset speed range and a maximum discharge power of the vehicle battery as constraints to determine an optimal driving speed corresponding to the maximum driving distance of the vehicle; The output power of the vehicle battery is adjusted based on the optimal driving speed.

[0006] Optionally, the environmental parameters include environmental temperature, environmental humidity and location altitude; the battery status parameters include battery cycle times, current voltage and current current; and obtaining the current environmental parameters and battery status parameters of the vehicle includes: The current ambient temperature is obtained through the temperature sensor; the current ambient humidity is obtained through the humidity sensor; the current altitude is obtained through the altitude sensor; the number of battery cycles, current voltage and current current are obtained through the battery management system.

[0007] Optionally, the correcting the air density at the current position based on the environmental parameter includes: Determine an air density correction coefficient according to the current ambient temperature, the current ambient humidity and the current location altitude; The standard air density is corrected according to the air density correction factor.

[0008] Optionally, determining the actual remaining power of the vehicle battery based on the environmental parameter and the battery status parameter includes: Searching for a preset battery capacity attenuation curve according to the current ambient temperature, the current ambient humidity and the number of battery cycles to determine a battery capacity attenuation ratio of the vehicle battery; Alternatively, the battery capacity attenuation ratio of the vehicle battery is determined according to the temperature influence factor, the humidity influence factor and the battery cycle number; Determining a current available rated capacity of the vehicle battery according to the battery capacity attenuation ratio and the battery nominal capacity of the vehicle battery; The actual remaining capacity of the vehicle battery is determined according to the available rated capacity and the current remaining capacity SOC of the vehicle battery.

[0009] Optionally, constructing a relationship function between the vehicle speed and the remaining power drivable distance based on the actual remaining power and the corrected air density includes: Determine the air resistance encountered by the vehicle during driving according to the corrected air density and the vehicle driving speed; Determine the rolling resistance and climbing resistance encountered by the vehicle during driving according to the road slope angle and vehicle mass; Determine the overall resistance encountered by the vehicle during driving based on the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving; A relationship function between the vehicle's travel speed and the travel distance that can be traveled with the remaining power is determined based on the actual remaining power and the overall resistance encountered by the vehicle during travel.

[0010] Optionally, adjusting the output power of the vehicle battery based on the optimal driving speed includes: According to the optimal driving speed, combined with the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving, the driving power required for the vehicle to reach the speed is calculated; Determine the output power actually required by the vehicle battery according to the driving power and in combination with the transmission system efficiency; At the same time, reserving at least part of the maximum discharge power of the vehicle battery as an emergency power reserve; Using a battery management system to monitor the temperature and remaining power of the vehicle battery in real time; The discharge current of the vehicle battery is dynamically adjusted according to the monitoring result of the vehicle battery.

[0011] Optionally, the method further comprises: Monitor the actual driving speed of the vehicle in real time, and calculate the deviation value between the actual driving speed and the optimal driving speed; If the deviation between the actual driving speed and the optimal driving speed exceeds a preset threshold, the step of optimizing the vehicle battery output power described in any optional implementation manner in the first aspect above is re-executed to adjust the output power of the vehicle battery.

[0012] In a second aspect, an embodiment of the present application provides a vehicle battery output power optimization device, the device comprising: A parameter acquisition module is used to obtain the current environmental parameters and battery status parameters of the vehicle; An air density correction module, used to correct the air density at the current location based on the environmental parameters; A remaining power determination module, used to determine the actual remaining power of the vehicle battery based on the environmental parameters and the battery status parameters; A relationship function building module, used to build a relationship function between the vehicle's driving speed and the remaining power travelable distance based on the actual remaining power and the corrected air density; A driving speed determination module, used to solve the relationship function with a preset speed range and the maximum discharge power of the vehicle battery as constraints, and determine the optimal driving speed corresponding to the maximum driving distance of the vehicle; The first output power adjustment module is used to adjust the output power of the vehicle battery based on the optimal driving speed.

[0013] Optionally, the environmental parameters include environmental temperature, environmental humidity and location altitude; the battery status parameters include battery cycle times, current voltage and current current; and obtaining the current environmental parameters and battery status parameters of the vehicle includes: The current ambient temperature is obtained through the temperature sensor; the current ambient humidity is obtained through the humidity sensor; the current altitude is obtained through the altitude sensor; the number of battery cycles, current voltage and current current are obtained through the battery management system.

[0014] Optionally, the correcting the air density at the current position based on the environmental parameter includes: Determine an air density correction coefficient according to the current ambient temperature, the current ambient humidity and the current location altitude; The standard air density is corrected according to the air density correction factor.

[0015] Optionally, determining the actual remaining power of the vehicle battery based on the environmental parameter and the battery status parameter includes: Searching for a preset battery capacity attenuation curve according to the current ambient temperature, the current ambient humidity and the number of battery cycles to determine a battery capacity attenuation ratio of the vehicle battery; Alternatively, the battery capacity attenuation ratio of the vehicle battery is determined according to the temperature influence factor, the humidity influence factor and the battery cycle number; Determining a current available rated capacity of the vehicle battery according to the battery capacity attenuation ratio and the battery nominal capacity of the vehicle battery; The actual remaining capacity of the vehicle battery is determined according to the available rated capacity and the current remaining capacity SOC of the vehicle battery.

[0016] Optionally, constructing a relationship function between the vehicle speed and the remaining power drivable distance based on the actual remaining power and the corrected air density includes: Determine the air resistance encountered by the vehicle during driving according to the corrected air density and the vehicle driving speed; Determine the rolling resistance and climbing resistance encountered by the vehicle during driving according to the road slope angle and vehicle mass; Determine the overall resistance encountered by the vehicle during driving based on the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving; A relationship function between the vehicle's travel speed and the travel distance that can be traveled with the remaining power is determined based on the actual remaining power and the overall resistance encountered by the vehicle during travel.

[0017] Optionally, adjusting the output power of the vehicle battery based on the optimal driving speed includes: According to the optimal driving speed, combined with the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving, the driving power required for the vehicle to reach the speed is calculated; Determine the output power actually required by the vehicle battery according to the driving power and in combination with the transmission system efficiency; At the same time, reserving at least part of the maximum discharge power of the vehicle battery as an emergency power reserve; Using a battery management system to monitor the temperature and remaining power of the vehicle battery in real time; The discharge current of the vehicle battery is dynamically adjusted according to the monitoring result of the vehicle battery.

[0018] Optionally, the device further comprises: A deviation value calculation module is used to monitor the actual driving speed of the vehicle in real time and calculate the deviation value between the actual driving speed and the optimal driving speed; A second output power adjustment module is used to re-execute the steps of the vehicle battery output power optimization method described in any optional implementation manner of the first aspect to adjust the output power of the vehicle battery if the deviation value between the actual driving speed and the optimal driving speed exceeds a preset threshold.

[0019] In a third aspect, an embodiment of the present application provides a computer device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the vehicle battery output power optimization method described in any optional implementation manner of the first aspect are performed.

[0020] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, executes the steps of the vehicle battery output power optimization method described in any optional implementation manner in the first aspect above.

[0021] The technical solution provided by this application includes but is not limited to the following beneficial effects: The present application first obtains the current environmental parameters and battery status parameters of the vehicle. It can provide necessary data support for subsequent steps to ensure the accuracy and effectiveness of the entire optimization process. Then, based on the environmental parameters, the air density at the current position is corrected, and the driving resistance of the vehicle and the required battery output power can be more accurately calculated, thereby improving energy utilization efficiency and extending the driving distance. Then, based on the environmental parameters and the battery status parameters, the actual remaining power of the vehicle battery is determined, and the remaining capacity and available time of the battery can be more accurately estimated, thereby avoiding driving interruptions caused by power exhaustion. Then, based on the actual remaining power and the corrected air density, a relationship function between the vehicle driving speed and the remaining power driving distance is constructed, which provides a basis for the subsequent solution of the optimal driving speed. Through this relationship function, the remaining driving distance of the vehicle at different driving speeds can be predicted, so as to select the optimal driving strategy. Then, the relationship function is solved with the preset speed range and the maximum discharge power of the vehicle battery as constraints to determine the optimal driving speed corresponding to the maximum driving distance of the vehicle, which can ensure that the vehicle maximizes the use of battery energy and extends the driving distance while maintaining safe driving. Finally, adjusting the output power of the vehicle battery based on the optimal driving speed can ensure that the vehicle travels in the best state while avoiding unnecessary energy waste.

[0022] In summary, this application constructs a function of the relationship between the vehicle's driving speed and the distance that can be traveled with the remaining power by accurately obtaining environmental parameters and battery status parameters and comprehensively considering factors such as air density and remaining power. Under the constraints of the preset speed range and the maximum discharge power of the battery, the optimal driving speed is solved and the battery output power is adjusted accordingly, which not only significantly improves the energy utilization efficiency and extends the vehicle's driving distance, but also ensures the safety and reliability of driving.

[0023] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 A flow chart of a vehicle battery output power optimization method provided by the first embodiment of the present invention is shown; Figure 2A flow chart of an air density correction method provided by Embodiment 1 of the present invention is shown; Figure 3 A flowchart of a method for determining actual remaining power provided by the first embodiment of the present invention is shown; Figure 4 A flow chart of a method for determining a relationship function provided by the first embodiment of the present invention is shown; Figure 5 A flow chart of an output power adjustment method provided by Embodiment 1 of the present invention is shown; Figure 6 A schematic diagram of the structure of an output power adjustment device provided in Embodiment 2 of the present invention is shown; Figure 7 A schematic diagram of the structure of a computer device provided in Embodiment 3 of the present invention is shown. DETAILED DESCRIPTION

[0026] 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 only part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. 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 selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0027] Embodiment 1 To facilitate understanding of this application, Figure 1 The flowchart of a method for optimizing vehicle battery output power provided by the first embodiment of the present invention is shown to describe the contents of the first embodiment of the present application in detail.

[0028] See also Figure 1 As shown, Figure 1 A flow chart of a vehicle battery output power optimization method provided in Embodiment 1 of the present invention is shown, wherein the method comprises steps S101 to S106: S101: Obtain the current environmental parameters and battery status parameters of the vehicle.

[0029] Specifically, first of all, the vehicle collects key data in real time through integrated sensors and battery management systems. In terms of environmental parameters, temperature sensors monitor the outside temperature, humidity sensors detect air humidity, and GPS or air pressure sensors locate the altitude. These parameters directly affect air density and battery performance. Battery status parameters are provided by the battery management system (BMS), including the number of cycles (reflecting the degree of battery aging), current voltage and current (evaluating the real-time charging and discharging status), and remaining power (SOC). These data together form the basis for subsequent calculations to ensure that the optimization strategy is based on real-time and accurate operating condition information.

[0030] S102: Correcting the air density at the current location based on the environmental parameters.

[0031] Specifically, in order to eliminate the interference of environmental factors on air density, the system adjusts the standard value through a dynamic correction formula. Rising temperature will cause air to expand and reduce density, while increased humidity will increase the water content of the air and reduce the dry air mass. The increase in altitude will further reduce the density due to the decrease in air pressure. By integrating real-time data on temperature, humidity and altitude, the system corrects the standard air density to ensure that subsequent resistance calculations are more in line with the actual driving environment and avoid errors caused by the "standard atmosphere model" assumption.

[0032] S103: Determine the actual remaining power of the vehicle battery based on the environmental parameters and the battery status parameters.

[0033] Specifically, the nominal capacity of the battery needs to be dynamically adjusted in combination with environmental and aging factors. Temperature changes will affect battery activity (such as low temperature reduces activity), humidity may corrode battery materials, and the number of cycles directly reflects the degree of battery life attenuation. The system calibrates the nominal capacity in real time through temperature, humidity correction factors and cycle attenuation coefficients. For example, in a low temperature environment, the actual available capacity of the battery may be significantly lower than the nominal value. This correction avoids the deviation in battery life estimation caused by fluctuations in battery performance and improves calculation reliability.

[0034] S104: constructing a relationship function between the vehicle's driving speed and the driving distance based on the remaining power based on the actual remaining power and the corrected air density in combination with vehicle dynamics parameters.

[0035] Specifically, vehicle energy consumption is determined by air resistance, rolling resistance, and climbing resistance. Air resistance increases with the square of vehicle speed, and energy consumption rises sharply when driving at high speeds; rolling resistance is independent of vehicle speed and mainly depends on the friction coefficient between the tire and the road surface; climbing resistance consumes additional energy when going uphill. The system analyzes the interaction of these resistances, combines the corrected air density and the remaining battery power, and constructs a mathematical model to quantify energy consumption and drivable distance at different speeds. The ultimate goal is to find a balance between energy consumption and driving time and determine the theoretical maximum cruising speed.

[0036] S105: solving the relationship function with a preset speed range and the maximum discharge power of the vehicle battery as constraints to determine an optimal driving speed corresponding to the maximum driving distance of the vehicle.

[0037] Specifically, within the range of the battery's maximum discharge power and the preset speed, the system determines the speed with the lowest energy consumption through logical deduction. Although low-speed driving saves air resistance energy consumption, it prolongs driving time, which may lead to an increase in total energy consumption; although high-speed driving shortens time, the surge in air resistance causes a surge in energy consumption. By excluding extreme cases and gradually adjusting the speed, the system finds the "Pareto optimal solution" for energy consumption and driving time. For example, if the calculation finds that the total energy consumption is the lowest at a certain speed, this speed is selected as the theoretical optimal solution to ensure the longest range with limited power.

[0038] S106: Adjusting the output power of the vehicle battery based on the optimal driving speed.

[0039] Specifically, the required driving power is calculated according to the optimal speed, and the output is adjusted in real time through the battery management system (BMS). The system needs to consider transmission efficiency (such as mechanical loss) and safety redundancy (such as reserved emergency power) to convert theoretical power requirements into actual battery output instructions. For example, if the optimal speed requires 20kW driving power, the system will require the battery to output higher power after calculating the transmission loss, and monitor battery temperature, SOC and other parameters to dynamically adjust the current. If the speed deviates from the optimal value due to changes in road conditions during driving, the system will re-trigger the optimization process to ensure that the energy consumption throughout the journey is always in the high-efficiency range.

[0040] In an optional embodiment, the environmental parameters include ambient temperature, ambient humidity and location altitude; the battery status parameters include battery cycle times, current voltage and current current; and obtaining the current environmental parameters and battery status parameters of the vehicle includes: The current ambient temperature is obtained through the temperature sensor; the current ambient humidity is obtained through the humidity sensor; and the current altitude is obtained through the altitude sensor.

[0041] Specifically, the outside temperature is monitored in real time through a temperature sensor (such as a thermistor) installed on the outside of the vehicle. The sensor is usually located at the front of the vehicle body or the chassis to avoid direct sunlight and airflow interference to ensure that the data accurately reflects the actual ambient temperature. Temperature changes directly affect air density and battery performance (such as low temperature will reduce battery activity). The relative humidity (RH) in the air is detected by a humidity sensor (capacitive or resistive). The sensor can be integrated into the exterior of the vehicle body or the air conditioning system in the vehicle to provide real-time feedback on humidity changes. Humidity affects air density (the water content of the air increases at high humidity) and battery heat dissipation efficiency. The altitude is obtained through a GPS module or a pressure sensor.

[0042] The battery management system obtains the battery cycle number, current voltage and current.

[0043] Specifically, the battery management system (BMS) records the charge and discharge history of the battery. Each complete charge and discharge cycle (from full charge to empty charge and then back to charge) is counted, and the BMS stores the number of cycles to assess the degree of battery aging. The more cycles, the more significant the battery capacity decay. The total voltage of the battery pack or the voltage of the single cell is monitored in real time through a voltage sensor. The voltage directly reflects the charge and discharge status of the battery: low voltage may indicate low power or battery failure; high voltage may occur at the end of charging or abnormal operating conditions. The BMS dynamically adjusts the charge and discharge strategy based on voltage data. The instantaneous charge and discharge current of the battery is measured through a current sensor (such as a Hall effect sensor). The current size affects the battery power output and energy consumption: high current discharge will accelerate capacity decay; excessive charging current may damage the battery. The BMS combines the voltage and current data to calculate the remaining capacity (SOC) and power state. The BMS estimates the remaining battery capacity by the ampere-hour integration method or the open circuit voltage method.

[0044] During the optimization process, parameters such as temperature, humidity, altitude, number of cycles, voltage, current, etc. are transmitted to the central controller (such as the autonomous driving domain controller) via the CAN bus or the vehicle network, and the sensor noise is eliminated by the algorithm (such as Kalman filtering) to ensure data consistency. The sensor updates data at a high frequency (such as 10Hz) to adapt to dynamic driving environments (such as acceleration, climbing, temperature changes). If the parameters are abnormal (such as temperature > 60℃, voltage < 2.5V), the BMS will immediately trigger an alarm and limit power output to ensure driving safety.

[0045] In an alternative embodiment, see Figure 2 As shown, Figure 2 A flow chart of an air density correction method provided in Embodiment 1 of the present invention is shown, wherein the air density at the current position is corrected based on the environmental parameters, including steps S201-S202: S201: Determine an air density correction coefficient according to the current ambient temperature, the current ambient humidity and the current location altitude.

[0046] Specifically, the air density correction factor is determined according to the following expression: : ; Where, T0=288.15K; T is the current ambient temperature; RH is the current ambient humidity; h is the current altitude.

[0047] S202: Correcting the standard air density according to the air density correction coefficient.

[0048] Specifically, the corrected air density is determined according to the following expression: : ; in, is the standard air density at sea level, is the air density correction factor.

[0049] In an alternative embodiment, see Figure 3 As shown, Figure 3 A flowchart of a method for determining an actual remaining power provided by an embodiment of the present invention is shown, wherein the method for determining the actual remaining power of the vehicle battery based on the environmental parameters and the battery status parameters includes steps S301 to S303: S301: searching for a preset battery capacity attenuation curve according to the environmental parameters and the battery status parameters, and determining a battery capacity attenuation ratio of the vehicle battery.

[0050] Specifically, the battery capacity attenuation curve is a mapping relationship established in advance through experiments or historical data. The horizontal axis is the parameters that affect battery performance (such as temperature, humidity, and number of cycles), and the vertical axis is the capacity attenuation ratio (such as 0.9 means that the current capacity is 90% of the nominal value).

[0051] Example: Temperature: Low temperature (such as 0°C) may cause a 20% capacity decay, and high temperature (such as 40°C) may accelerate the decay by 5% due to side reactions; Number of cycles: The capacity may decrease by 3% for every 100 cycles completed; Humidity: High humidity environment may cause an additional decay of 1%-2% due to corrosion effects.

[0052] When searching for the battery capacity attenuation curve, the system obtains the current ambient temperature, humidity and battery cycle times in real time, queries the attenuation curve, and calculates the comprehensive attenuation ratio.

[0053] Example: If the temperature is 15°C (attenuation ratio 0.95), the number of cycles is 2000 times (attenuation ratio 0.85), and the humidity is 80% (attenuation ratio 0.98), the comprehensive attenuation ratio is: 0.95×0.85×0.98≈0.799.

[0054] S302: Alternatively, the battery capacity attenuation ratio of the vehicle battery is determined according to the temperature influence factor, the humidity influence factor and the battery cycle number.

[0055] Specifically, the battery capacity attenuation ratio is determined according to the following expression: : = ; Among them, f temp(T) is the temperature influence factor: f humidity (RH) is the humidity influence factor; k cycle is the cyclic attenuation coefficient; N cycle The number of battery cycles.

[0056] S303: Determine the current available rated capacity of the vehicle battery according to the battery capacity attenuation ratio and the battery nominal capacity of the vehicle battery.

[0057] Specifically, the available rated capacity is determined according to the following expression: : ; in, is the battery nominal capacity of the vehicle battery, is the battery capacity attenuation ratio.

[0058] S304: Determine the actual remaining capacity of the vehicle battery according to the available rated capacity and the current remaining power SOC of the vehicle battery.

[0059] Specifically, the actual remaining capacity of the vehicle battery is determined according to the following expression: : ; in, is the available rated capacity, and SOC is the current remaining charge SOC value of the vehicle battery.

[0060] In an alternative embodiment, see Figure 4 As shown, Figure 4 A flow chart of a method for determining a relationship function provided by the first embodiment of the present invention is shown, wherein the relationship function between the vehicle speed and the remaining distance can be traveled based on the actual remaining power and the corrected air density is constructed, including steps S401 to S404: S401: Determine the air resistance encountered by the vehicle during driving according to the corrected air density and the vehicle driving speed.

[0061] Specifically, air resistance is proportional to the square of vehicle speed, air density, vehicle frontal area and drag coefficient. The air density corrected by altitude, temperature and humidity is closer to the real environment. For example, the air in high altitude areas is thinner, and the air resistance is reduced; high temperature or high humidity environment reduces air density, which also reduces resistance.

[0062] The air resistance F that the vehicle encounters during driving can be determined using the following expression: 空气 : F 空气 = ; in, is the corrected air density, is the drag coefficient, is the vehicle speed, and A is the frontal area of ​​the vehicle.

[0063] S402: Determine the rolling resistance and climbing resistance encountered by the vehicle during driving according to the road slope angle and the vehicle mass.

[0064] Specifically, rolling resistance is caused by the friction between the tire and the road surface, which is related to the vehicle mass. , rolling resistance coefficient Climbing resistance is the weight that needs to be overcome when going uphill, which is proportional to the vehicle mass and the road slope angle. Positive correlation.

[0065] The rolling resistance F that the vehicle is subject to during driving is determined according to the following expression: 滚动 and climbing resistance F 爬坡 : F 滚动 = ; F 爬坡 = ; Where m is the mass of the vehicle, g is the acceleration due to gravity, is the rolling resistance coefficient, is the road slope angle.

[0066] S403: Determine the overall resistance encountered by the vehicle during driving according to the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving.

[0067] Specifically, all resistances are combined to obtain the overall resistance of the vehicle.

[0068] =F 空气 +F 滚动 +F 爬坡； Among them, F 空气 is the air resistance encountered by the vehicle during driving, F 滚动 is the rolling resistance, F 爬坡 is the climbing resistance.

[0069] S404: Determine a relationship function between the vehicle's driving speed and the remaining power's driving distance based on the actual remaining power and the overall resistance encountered by the vehicle during driving.

[0070] Specifically, the resistance model is combined with the remaining power to derive the functional relationship between the maximum drivable distance and the speed.

[0071] The expression of the functional relationship is as follows: ; The expansion can be obtained: .

[0072] The definitions of each symbol can be found in the above section.

[0073] After determining the relationship function, solving the relationship function with a preset speed range and the maximum discharge power of the vehicle battery as constraints to determine the optimal driving speed corresponding to the maximum driving distance of the vehicle, including: In the given speed range, and the maximum battery discharge power Under the constraints, find the distance that the vehicle can travel Maximum optimal speed *.

[0074] Step 1: Define the objective function and constraints.

[0075] Objective function: ; Constraints: Speed ​​range: ; Power limit: total resistance power ; Step 2: Solve the theoretical optimal speed under unconstrained conditions.

[0076] Ignoring power constraints, the following method can be used to find The maximum value of: ( ) Take the derivative, set the derivative to zero, and solve for the critical point *.

[0077] Specifically, first calculate the total resistance power The derivative of , then solve the equation , get the potential optimal speed *, at this time, the unit energy consumption is the lowest and the energy utilization efficiency is the highest.

[0078] Step 3: Screen feasible solutions based on power constraints.

[0079] The theoretical optimal speed *Substitute into the total resistance power formula and check whether it satisfies .

[0080] Case 1: Constraints are satisfied → * is the candidate optimal solution.

[0081] Case 2: The constraints are not met → It is necessary to re-search for a suboptimal solution that meets the power conditions within the speed range.

[0082] Step 4: Dealing with boundary conditions and multiple solutions.

[0083] If the theoretical optimal speed exceeds the preset range (such as *> ), we need to compare the boundary speed With suboptimal speed value.

[0084] If there are multiple local extreme values ​​(such as the switch between a climbing section and a flat road), the global maximum value needs to be determined through piecewise optimization or a global search algorithm (such as a genetic algorithm).

[0085] Step 5: Real-time dynamic adjustment.

[0086] Real-time monitoring of battery temperature, SOC and state of health (SOH) through BMS, dynamic correction of effective capacity and maximum discharge power Furthermore, if the parameters change suddenly during driving (such as on a steep slope or during rapid acceleration), the optimal speed will be recalculated immediately to ensure that the strategy is always optimal.

[0087] Practical application example: Assume that the parameters of an electric car are as follows: SOC=80%, =41.04kWh, =100kW. Speed ​​range: 30–120km / h.

[0088] Calculate the theoretical optimal speed: By taking the derivative, we get *=65km / h, total resistance power at this time =95kW≤100kW. Verify feasibility: meet the power constraint, so * = 65km / h is a candidate solution. Boundary comparison: Calculation =30km / h and =120km / h , confirming that 65km / h is indeed the maximum.

[0089] This method achieves the optimal balance between energy consumption and driving efficiency by combining rigorous mathematical modeling with engineering practice.

[0090] In an alternative embodiment, see Figure 5 As shown, Figure 5 A flow chart of an output power adjustment method provided in the first embodiment of the present invention is shown, wherein the output power of the vehicle battery is adjusted based on the optimal driving speed, including steps S501 to S505: S501: Calculate the driving power required for the vehicle to reach the optimal driving speed based on the optimal driving speed and the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving.

[0091] Specifically, resistance analysis is first performed. The vehicle moves at the optimal speed. *When driving, you need to overcome air resistance (F 空气 = )、Rolling resistance(F 滚动 = ) and climbing resistance (F 爬坡 = ). Total driving power P 驱动 =(F 空气 +F 滚动 +F 爬坡 )× *.

[0092] Example: If the optimal speed is 65 km / h, the air resistance is 200 N, the rolling resistance is 150 N, and the climbing resistance is 50 N, then P 驱动 =(200+150+50)×360065×1000≈8.68kW.

[0093] S502: Determine the output power actually required by the vehicle battery according to the driving power and in combination with the transmission system efficiency.

[0094] Specifically, after considering the transmission efficiency, calculate the power that the battery needs to provide. Transmission loss: There is mechanical loss (such as gear friction and bearing resistance) in the process of power transmission from the battery to the wheel, which is usually expressed by the transmission efficiency η (such as 90%). Battery output power P 电池 =η×P 驱动 .

[0095] Example: If the transmission efficiency is 90%, then P 电池 =0.98.68≈9.64kW.

[0096] S503: At the same time, at least a portion of the maximum discharge power of the vehicle battery is reserved as an emergency power reserve.

[0097] Specifically, from the maximum discharge power of the battery A certain percentage (e.g. 20%) is reserved as an emergency reserve. The actual available power .

[0098] Example: If Pmax=100kW, after reserving 20kW, the actual allowed output power limit is 80kW.

[0099] S504: Using a battery management system to monitor the temperature and remaining power of the vehicle battery in real time.

[0100] Specifically, the battery temperature T is continuously monitored. 电池 and remaining power SOC, set temperature upper limit And the lower limit SOC min If T 电池 > (such as 50℃), trigger cooling measures; if SOC <SOC min (such as 20%), limiting the power output.

[0101] S505: Dynamically adjust the discharge current of the vehicle battery according to the monitoring result of the vehicle battery.

[0102] Specifically, according to Ohm's law, the battery output power is proportional to the discharge current (P 电池 =V×I, V is the battery voltage, I is the battery current), set the battery upper limit . If I> , reducing the current to match the battery capacity. At the same time, pulse width modulation (PWM) is used to smooth current fluctuations and reduce energy loss. After adjustment, the battery status is re-monitored to form a closed-loop control.

[0103] In an optional embodiment, the method further comprises: The actual driving speed of the vehicle is monitored in real time, and a deviation value between the actual driving speed and the optimal driving speed is calculated; if the deviation value between the actual driving speed and the optimal driving speed exceeds a preset threshold, the steps of the vehicle battery output power optimization method shown in the above-mentioned embodiment 1 are re-executed to adjust the output power of the vehicle battery.

[0104] Specifically, the vehicle's current speed is obtained in real time through on-board sensors (such as GPS, wheel speed sensors) 实际 , usually updated at a frequency of 1-10Hz (i.e. 1-10 times per second) to ensure timely response to dynamic changes. Thresholds are preset according to vehicle dynamics characteristics and driving comfort requirements.

[0105] The deviation value Δ is determined by the following expression : in, * is the optimal driving speed calculated previously.

[0106] If Δ If the threshold is exceeded, it indicates that the current driving state deviates from the theoretical optimum and needs to be re-optimized, which automatically triggers the closed-loop iteration of the following steps S101 to S106.

[0107] Example scenario: Assume that the vehicle is traveling at a constant speed of 65 km / h (optimal speed) on a straight road, but a sudden congestion ahead causes frequent starts and stops: the deviation is detected, and the actual speed drops to 20 km / h, Δ =45km / h (far exceeding the threshold). Trigger adjustment, the system recalculates the remaining power (taking into account the insufficient energy recovery caused by frequent braking), corrects the air density (which may be heated up due to the urban heat island effect), and builds a new resistance model (dominated by rolling resistance at low speed). New optimal speed, the optimal speed under congested conditions is calculated to be 30 km / h (balancing energy consumption and traffic efficiency). Output adjustment, the battery output power is reduced to the idle level, giving priority to powering auxiliary equipment such as air conditioning.

[0108] Embodiment 2 See also Figure 6 As shown, Figure 6 A schematic diagram of the structure of an output power adjustment device provided in Embodiment 2 of the present invention is shown, wherein the device comprises: The parameter acquisition module 601 is used to obtain the current environmental parameters and battery status parameters of the vehicle; An air density correction module 602, configured to correct the air density at the current location based on the environmental parameters; A remaining power determination module 603 is used to determine the actual remaining power of the vehicle battery based on the environmental parameters and the battery status parameters; A relationship function building module 604 is used to build a relationship function between the vehicle driving speed and the remaining power travelable distance based on the actual remaining power and the corrected air density; The driving speed determination module 605 is used to solve the relationship function with a preset speed range and the maximum discharge power of the vehicle battery as constraints to determine the optimal driving speed corresponding to the maximum driving distance of the vehicle; The first output power adjustment module 606 is configured to adjust the output power of the vehicle battery based on the optimal driving speed.

[0109] In an optional embodiment, the environmental parameters include ambient temperature, ambient humidity and location altitude; the battery status parameters include battery cycle times, current voltage and current current; and obtaining the current environmental parameters and battery status parameters of the vehicle includes: The current ambient temperature is obtained through the temperature sensor; the current ambient humidity is obtained through the humidity sensor; the current altitude is obtained through the altitude sensor; the number of battery cycles, current voltage and current current are obtained through the battery management system.

[0110] In an optional embodiment, the correcting the air density at the current location based on the environmental parameter includes: Determine an air density correction coefficient according to the current ambient temperature, the current ambient humidity and the current location altitude; The standard air density is corrected according to the air density correction factor.

[0111] In an optional embodiment, determining the actual remaining power of the vehicle battery based on the environmental parameter and the battery status parameter includes: Searching for a preset battery capacity attenuation curve according to the current ambient temperature, the current ambient humidity and the number of battery cycles to determine a battery capacity attenuation ratio of the vehicle battery; Alternatively, the battery capacity attenuation ratio of the vehicle battery is determined according to the temperature influence factor, the humidity influence factor and the battery cycle number; Determining a current available rated capacity of the vehicle battery according to the battery capacity attenuation ratio and the battery nominal capacity of the vehicle battery; The actual remaining capacity of the vehicle battery is determined according to the available rated capacity and the current remaining capacity SOC of the vehicle battery.

[0112] In an optional implementation, the constructing a relationship function between the vehicle speed and the remaining power drivable distance based on the actual remaining power and the corrected air density includes: Determine the air resistance encountered by the vehicle during driving according to the corrected air density and the vehicle driving speed; Determine the rolling resistance and climbing resistance encountered by the vehicle during driving according to the road slope angle and vehicle mass; Determine the overall resistance encountered by the vehicle during driving based on the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving; A relationship function between the vehicle's travel speed and the travel distance that can be traveled with the remaining power is determined based on the actual remaining power and the overall resistance encountered by the vehicle during travel.

[0113] In an optional embodiment, adjusting the output power of the vehicle battery based on the optimal driving speed includes: According to the optimal driving speed, combined with the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving, the driving power required for the vehicle to reach the speed is calculated; Determine the output power actually required by the vehicle battery according to the driving power and in combination with the transmission system efficiency; At the same time, reserving at least part of the maximum discharge power of the vehicle battery as an emergency power reserve; Using a battery management system to monitor the temperature and remaining power of the vehicle battery in real time; The discharge current of the vehicle battery is dynamically adjusted according to the monitoring result of the vehicle battery.

[0114] In an optional embodiment, the device further comprises: A deviation value calculation module is used to monitor the actual driving speed of the vehicle in real time and calculate the deviation value between the actual driving speed and the optimal driving speed; The second output power adjustment module is used to re-execute the steps of the vehicle battery output power optimization method described in any optional implementation manner in the above-mentioned embodiment 1 to adjust the output power of the vehicle battery if the deviation value between the actual driving speed and the optimal driving speed exceeds a preset threshold.

[0115] Embodiment 3 Based on the same application concept, see Figure 7 As shown, Figure 7 FIG. 4 shows a schematic diagram of the structure of a computer device provided by Embodiment 3 of the present invention, wherein: Figure 7 As shown, a computer device 700 provided in Embodiment 3 of the present application includes: A processor 701, a memory 702 and a bus 703, wherein the memory 702 stores machine-readable instructions executable by the processor 701. When the computer device 700 is running, the processor 701 communicates with the memory 702 via the bus 703. When the processor 701 is running, the machine-readable instructions execute the steps of the vehicle battery output power optimization method shown in the above-mentioned embodiment 1.

[0116] Embodiment 4 Based on the same application concept, an embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the vehicle battery output power optimization method described in any one of the above embodiments are executed.

[0117] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0118] The computer program product for optimizing vehicle battery output power provided in an embodiment of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method described in the previous method embodiment. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0119] The vehicle battery output power optimization device provided in the embodiment of the present invention can be specific hardware on the device or software or firmware installed on the device. The implementation principle and technical effects of the device provided in the embodiment of the present invention are the same as those of the aforementioned method embodiment. For the sake of brief description, the parts not mentioned in the device embodiment can refer to the corresponding contents in the aforementioned method embodiment. Technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can all refer to the corresponding processes in the aforementioned method embodiment, and will not be repeated here.

[0120] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0121] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0122] In addition, each functional unit in the embodiment provided by the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0123] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0124] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.

[0125] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can still modify the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or perform equivalent replacements on some of the technical features thereof; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. They should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for optimizing vehicle battery output power, characterized in that: The method comprises: Obtain the vehicle's current environmental parameters and battery status parameters; Correcting the air density at the current location based on the environmental parameters; Determine the actual remaining power of the vehicle battery based on the environmental parameter and the battery status parameter; Constructing a relationship function between the vehicle's driving speed and the remaining driving distance based on the actual remaining power and the corrected air density; Solving the relationship function with a preset speed range and a maximum discharge power of the vehicle battery as constraints to determine an optimal driving speed corresponding to the maximum driving distance of the vehicle; The output power of the vehicle battery is adjusted based on the optimal driving speed.

2. The method according to claim 1, characterized in that The environmental parameters include the ambient temperature, ambient humidity and location altitude; the battery status parameters include the number of battery cycles, current voltage and current current; the acquisition of the current environmental parameters and battery status parameters of the vehicle includes: The current ambient temperature is obtained through the temperature sensor; the current ambient humidity is obtained through the humidity sensor; the current altitude is obtained through the altitude sensor; the number of battery cycles, current voltage and current current are obtained through the battery management system.

3. The method according to claim 2, characterized in that The correcting the air density at the current position based on the environmental parameter includes: Determine an air density correction coefficient according to the current ambient temperature, the current ambient humidity and the current location altitude; The standard air density is corrected according to the air density correction factor.

4. The method according to claim 2, characterized in that: The determining the actual remaining power of the vehicle battery based on the environmental parameter and the battery status parameter includes: Searching for a preset battery capacity attenuation curve according to the current ambient temperature, the current ambient humidity and the number of battery cycles to determine a battery capacity attenuation ratio of the vehicle battery; Alternatively, the battery capacity attenuation ratio of the vehicle battery is determined according to the temperature influence factor, the humidity influence factor and the battery cycle number; Determining a current available rated capacity of the vehicle battery according to the battery capacity attenuation ratio and the battery nominal capacity of the vehicle battery; The actual remaining capacity of the vehicle battery is determined according to the available rated capacity and the current remaining capacity SOC of the vehicle battery.

5. The method according to claim 1, characterized in that The constructing a relationship function between the vehicle speed and the remaining distance based on the actual remaining power and the corrected air density includes: Determine the air resistance encountered by the vehicle during driving according to the corrected air density and the vehicle driving speed; Determine the rolling resistance and climbing resistance encountered by the vehicle during driving according to the road slope angle and vehicle mass; Determine the overall resistance encountered by the vehicle during driving based on the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving; A relationship function between the vehicle's driving speed and the distance that can be traveled with the remaining power is determined based on the actual remaining power and the overall resistance encountered by the vehicle during driving.

6. The method according to claim 1, characterized in that The adjusting the output power of the vehicle battery based on the optimal driving speed comprises: According to the optimal driving speed, combined with the air resistance, rolling resistance and climbing resistance encountered by the vehicle during driving, the driving power required for the vehicle to reach the speed is calculated; Determine the output power actually required by the vehicle battery according to the driving power and in combination with the transmission system efficiency; At the same time, reserving at least part of the maximum discharge power of the vehicle battery as an emergency power reserve; Using a battery management system to monitor the temperature and remaining power of the vehicle battery in real time; The discharge current of the vehicle battery is dynamically adjusted according to the monitoring result of the vehicle battery.

7. The method according to claim 1, characterized in that The method further comprises: Monitor the actual driving speed of the vehicle in real time, and calculate the deviation value between the actual driving speed and the optimal driving speed; If the deviation between the actual driving speed and the optimal driving speed exceeds a preset threshold, the steps in claim 1 are re-executed to adjust the output power of the vehicle battery.

8. A vehicle battery output power optimization device, characterized in that: The device comprises: A parameter acquisition module is used to obtain the current environmental parameters and battery status parameters of the vehicle; An air density correction module, used to correct the air density at the current location based on the environmental parameters; A remaining power determination module, used to determine the actual remaining power of the vehicle battery based on the environmental parameters and the battery status parameters; A relationship function building module, used to build a relationship function between the vehicle's driving speed and the remaining power travelable distance based on the actual remaining power and the corrected air density; A driving speed determination module, used to solve the relationship function with a preset speed range and the maximum discharge power of the vehicle battery as constraints, and determine the optimal driving speed corresponding to the maximum driving distance of the vehicle; The first output power adjustment module is used to adjust the output power of the vehicle battery based on the optimal driving speed.

9. A computer device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the computer device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the vehicle battery output power optimization method as described in any one of claims 1 to 7 are performed.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the steps of the vehicle battery output power optimization method as described in any one of claims 1 to 7.

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