Vehicle power distribution methods, devices, equipment and storage media

Abstract

This application discloses a vehicle power distribution method, apparatus, device, and storage medium, relating to the field of power distribution technology. The vehicle power distribution method includes: determining a corresponding target fitness based on an initial power distribution strategy with a preset initial quantity; determining a screening power distribution strategy with a preset screening quantity based on each target fitness and a preset screening strategy; determining a reorganization power distribution strategy with a preset initial quantity based on the screening power distribution strategy with the preset screening quantity; determining a target power distribution strategy based on the reorganization power distribution strategy with the preset initial quantity; and distributing power to the target vehicle according to the target power distribution strategy. By dynamically optimizing power distribution through intelligent algorithms, real-time energy allocation adjustment is achieved, improving the energy utilization efficiency of new energy vehicles and the performance of new energy vehicle power systems (including the power supply performance and cycle life of the motor and power battery).

Description

Technical Field

[0001] This application relates to the field of power distribution technology, and in particular to methods, devices, equipment and storage media for power distribution in vehicles. Background Technology

[0002] New energy vehicle power supply technology refers to the related technologies and systems that provide power and energy to new energy vehicles. Through reasonable power supply architecture design, it ensures that electrical energy is transmitted to various electrical components efficiently and safely, while optimizing energy distribution, improving energy use efficiency, and extending driving range.

[0003] The low-voltage system is mainly responsible for providing 12V power to lights, instruments, vehicle systems, and body accessories; the high-voltage system is mainly responsible for providing higher voltages, usually several hundred volts, to drive motors, battery charging, air conditioning, and heating systems. Existing power supply systems for new energy vehicles achieve high- and low-voltage energy conversion through DC / DC converters and voltage regulation, which results in energy loss, reduced energy utilization efficiency, and affects the driving range and battery life of new energy vehicles.

[0004] Moreover, the existing high and low voltage power supply architecture for new energy vehicles cannot use intelligent algorithms to dynamically optimize power distribution, cannot achieve real-time energy distribution adjustment, and cannot further improve the energy utilization efficiency and power system performance of new energy vehicles (including the power supply performance and cycle life of motors and power batteries). Furthermore, the existing high and low voltage power supply architecture for new energy vehicles is not equipped with an intelligent monitoring and feedback system, and cannot perform fault monitoring and fault handling feedback on the energy consumption of the whole vehicle and the hardware and software status of the power system. Summary of the Invention

[0005] The main purpose of this application is to provide a vehicle power distribution method, device, equipment and storage medium, which aims to solve the technical problem of low energy utilization efficiency in the power supply architecture of new energy vehicles in the prior art.

[0006] To achieve the above objectives, this application proposes a vehicle power distribution method, which includes:

[0007] The target fitness is determined based on the initial power allocation strategy with a preset initial quantity;

[0008] A screening power allocation strategy is determined based on the fitness of each target and the preset screening strategy to determine the preset screening quantity;

[0009] Based on the preset screening quantity screening power allocation strategy, a preset initial quantity of recombination power allocation strategy is determined;

[0010] The target power allocation strategy is determined based on the preset initial quantity of reorganized power allocation strategy;

[0011] The target vehicle's power is allocated according to the target power allocation strategy.

[0012] In one embodiment, before determining the corresponding target fitness based on the initial power allocation strategy with a preset initial quantity, the method further includes:

[0013] Obtain the target vehicle's power supply, number of load points, and power distribution range corresponding to each load point;

[0014] The target constraints are determined based on the power supply, the number of load points, and the power distribution range.

[0015] Generate a preset initial quantity of generated power allocation strategies based on the target constraints;

[0016] The initial power allocation strategy is determined based on the preset encoding strategy and the generated power allocation strategy.

[0017] In one embodiment, the energy allocation strategy for determining the preset screening quantity based on each target fitness and a preset screening strategy includes:

[0018] Determine the overall fitness based on the fitness of each target;

[0019] Each relative fitness is determined based on the overall fitness and each target fitness;

[0020] A screening power allocation strategy that determines the preset screening quantity based on the preset screening strategy and each relative fitness.

[0021] In one embodiment, the energy allocation strategy for determining the preset screening quantity based on the preset screening strategy and each relative fitness includes:

[0022] The target mapping interval is determined based on the preset screening strategy and various relative fitness levels;

[0023] Generate the corresponding target value based on the preset value range;

[0024] The preset number of screening power allocation strategies is determined based on the target mapping range and the target generated value.

[0025] In one embodiment, determining the preset initial number of recombination energy allocation strategies based on the preset screening quantity screening energy allocation strategy includes:

[0026] Based on the preset screening quantity screening power allocation strategy, determine multiple preset cross-number screening power allocation strategies;

[0027] The preset number of cross-power allocation strategies are determined based on the preset number of cross-strategies and the preset cross-strategies.

[0028] Based on the preset number of screening power allocation strategies and the preset number of cross-screening power allocation strategies, a preset initial number of recombination power allocation strategies is obtained.

[0029] In one embodiment, determining the target power allocation strategy based on the preset initial quantity of reorganized power allocation strategy includes:

[0030] The corresponding reorganization fitness is determined according to the preset initial quantity of reorganization power allocation strategy;

[0031] The fitness of each recombination and the fitness threshold are compared to obtain the fitness comparison results;

[0032] The target power allocation strategy is determined based on the fitness comparison results.

[0033] In one embodiment, determining the target power allocation strategy based on the fitness comparison result includes:

[0034] When the fitness comparison result is that the recombination fitness is greater than the fitness threshold, the corresponding recombination power allocation strategy is determined based on the recombination fitness.

[0035] The target power allocation strategy is determined based on the reorganization fitness-corresponding reorganization power allocation strategy.

[0036] Furthermore, to achieve the above objectives, this application also proposes a vehicle power distribution device, which includes:

[0037] The processing module is used to determine the corresponding target fitness based on the preset initial energy allocation strategy;

[0038] The screening module is used to determine the preset screening quantity and screening power allocation strategy based on the fitness of each target and the preset screening strategy.

[0039] The reorganization module is used to determine a preset initial number of reorganization power allocation strategies based on the preset number of screening power allocation strategies.

[0040] The comparison module is used to determine the target power allocation strategy based on the preset initial number of reorganized power allocation strategies;

[0041] The allocation module is used to allocate electrical energy to the target vehicle according to the target electrical energy allocation strategy.

[0042] In addition, to achieve the above objectives, this application also proposes a vehicle power distribution device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the vehicle power distribution method as described above.

[0043] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the vehicle power distribution method described above.

[0044] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the vehicle power distribution method described above.

[0045] This application determines the corresponding target fitness based on an initial energy allocation strategy with a preset initial quantity; determines a screening energy allocation strategy with a preset screening quantity based on each target fitness and a preset screening strategy; determines a reorganization energy allocation strategy with a preset initial quantity based on the screening energy allocation strategy with the preset screening quantity; determines a target energy allocation strategy based on the reorganization energy allocation strategy with the preset initial quantity; and allocates energy to the target vehicle according to the target energy allocation strategy. By dynamically optimizing energy allocation through intelligent algorithms, real-time energy distribution adjustment is achieved, improving the energy utilization efficiency of new energy vehicles and the performance of their power systems (including the power supply performance and cycle life of the motor and power battery). Attached Figure Description

[0046] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0047] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This is a flowchart illustrating an embodiment of the vehicle power distribution method of this application.

[0049] Figure 2 This is a schematic diagram of the high and low voltage power supply architecture for a new energy vehicle provided in Embodiment 1 of the vehicle power distribution method of this application;

[0050] Figure 3This is a schematic diagram of the genetic optimization algorithm structure in the high and low voltage control modules of the high and low voltage power supply architecture of the new energy vehicle provided in Embodiment 2 of the vehicle power distribution method of this application.

[0051] Figure 4 This is a flowchart illustrating Embodiment 2 of the vehicle power distribution method of this application.

[0052] Figure 5 A simplified flowchart illustrating the vehicle power distribution method provided in Embodiment 1 of this application;

[0053] Figure 6 This is a schematic diagram of the module structure of the vehicle power distribution device according to an embodiment of this application;

[0054] Figure 7 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the vehicle power distribution method in this application embodiment.

[0055] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0056] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0057] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0058] The main solution of this application embodiment is: determining the corresponding target fitness according to the initial power allocation strategy of the preset initial quantity; determining the screening power allocation strategy of the preset screening quantity according to each target fitness and the preset screening strategy; determining the reorganization power allocation strategy of the preset initial quantity according to the screening power allocation strategy of the preset screening quantity; determining the target power allocation strategy according to the reorganization power allocation strategy of the preset initial quantity; and performing power allocation for the target vehicle according to the target power allocation strategy.

[0059] New energy vehicle power supply technology refers to the related technologies and systems that provide power and energy to new energy vehicles. Through reasonable power supply architecture design, it ensures that electrical energy is transmitted to various electrical components efficiently and safely, while optimizing energy distribution, improving energy use efficiency, and extending driving range.

[0060] The low-voltage system is mainly responsible for providing 12V power to lights, instruments, vehicle systems, and body accessories; the high-voltage system is mainly responsible for providing higher voltages, usually several hundred volts, to drive motors, battery charging, air conditioning, and heating systems. Existing power supply systems for new energy vehicles achieve high- and low-voltage energy conversion through DC / DC converters and voltage regulation, which results in energy loss, reduced energy utilization efficiency, and affects the driving range and battery life of new energy vehicles.

[0061] Moreover, the existing high and low voltage power supply architecture for new energy vehicles cannot use intelligent algorithms to dynamically optimize power distribution, cannot achieve real-time energy distribution adjustment, and cannot further improve the energy utilization efficiency and power system performance of new energy vehicles (including the power supply performance and cycle life of motors and power batteries). Furthermore, the existing high and low voltage power supply architecture for new energy vehicles is not equipped with an intelligent monitoring and feedback system, and cannot perform fault monitoring and fault handling feedback on the energy consumption of the whole vehicle and the hardware and software status of the power system.

[0062] This application determines the corresponding target fitness based on an initial energy allocation strategy with a preset initial quantity; determines a screening energy allocation strategy with a preset screening quantity based on each target fitness and a preset screening strategy; determines a reorganization energy allocation strategy with a preset initial quantity based on the screening energy allocation strategy with the preset screening quantity; determines a target energy allocation strategy based on the reorganization energy allocation strategy with the preset initial quantity; and allocates energy to the target vehicle according to the target energy allocation strategy. By dynamically optimizing energy allocation through intelligent algorithms, real-time energy distribution adjustment is achieved, improving the energy utilization efficiency of new energy vehicles and the performance of their power systems (including the power supply performance and cycle life of the motor and power battery).

[0063] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or a vehicle power distribution device capable of performing the above functions. The following description uses a vehicle power distribution device as the executing entity to illustrate this embodiment and the subsequent embodiments.

[0064] Based on this, embodiments of this application provide a vehicle power distribution method, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the vehicle power distribution method of this application.

[0065] In this embodiment, the vehicle power distribution method includes steps S10 to S50:

[0066] Step S10: Determine the corresponding target fitness based on the initial power allocation strategy with a preset initial quantity;

[0067] It should be noted that, as Figure 2 As shown, this embodiment is applied to the high and low voltage power supply architecture of new energy vehicles. The high and low voltage power supply architecture of new energy vehicles includes: a high voltage battery pack, which is composed of high voltage batteries and serves as the main energy storage of the vehicle, providing the required electrical energy to the power module and the low voltage auxiliary module;

[0068] The power module consists of a power motor and a drive system, which uses the electrical energy from the high-voltage battery pack to drive the vehicle.

[0069] The low-voltage auxiliary module supplies power to the vehicle's auxiliary equipment via a low-voltage battery;

[0070] The power system monitoring module monitors the power system status through sensors and feeds back to the high and low voltage control modules. The power system monitoring module uses voltage sensors, current sensors, temperature sensors, and angular velocity sensors, which are distributed and deployed in key parts such as the high voltage battery pack, the power module, the low voltage auxiliary module, and the energy conversion module. It also collects data from each sensor in real time and transmits it to the high and low voltage control modules via the CAN bus.

[0071] The high and low voltage control module receives data from the power system monitoring module and dynamically adjusts the power distribution between the high-voltage system and the low-voltage system through a genetic optimization algorithm. Based on the temperature of the power system and the energy conversion module fed back by the power system monitoring module, the high and low voltage control module outputs a cooling command to the intelligent cooling module when the temperature exceeds a set threshold.

[0072] The energy conversion module receives instructions from the high and low voltage control modules and regulates the electrical energy conversion between high and low voltage through a DC / DC converter. The DC / DC converter of the energy conversion module improves energy conversion efficiency and reduces heat loss through synchronous flow technology, and reduces electronic interference and smooths input and output voltage through a filter.

[0073] The motor control module receives instructions from the high and low voltage control modules, adjusts the motor speed and torque through the speed driver, and controls the motor's operating state. The speed driver in the motor control module adjusts the stage voltage and frequency through a solid-state inverter and a PWM controller to control the motor speed and torque.

[0074] The intelligent cooling module receives instructions from the high and low pressure control modules and controls the fan and water cooling system to cool and protect the power system and energy conversion module. The intelligent cooling module adopts a closed-loop cooling system, in which the coolant is sent to the heat exchanger by the cooling pump. The heat exchanger absorbs the heat generated by the power system and energy conversion module, flows through the radiator to release the heat into the environment, and then flows back to the cooling pump. The intelligent cooling module monitors the working status of the cooling system through temperature and pressure sensors and issues an alarm when the system overheats or the coolant leaks.

[0075] The safety protection module, through fault monitoring, quickly cuts off the high-voltage system when a fault is detected. When a fault or abnormality is detected, the safety protection module automatically triggers the protection mechanism to quickly cut off the high-voltage system and ensures effective isolation between the high-voltage system and the low-voltage system. In the event of a high-voltage fault, the low-voltage system can still work independently to maintain the basic functions and safety of the vehicle. After the fault is repaired, it supports system status reset and self-test to ensure that all systems return to normal working state and automatically restart the high-voltage system.

[0076] The user interface module allows users to adjust parameters, view real-time information on energy consumption, remaining driving range, and system status, and receive system alarms and notifications through the interface.

[0077] The communication interface module allows the vehicle to communicate with external devices via Bluetooth and Wi-Fi for data exchange and remote control.

[0078] The output terminals of the high-voltage battery pack and the low-voltage auxiliary module are connected to the input terminal of the sensor. The output terminal of the sensor is connected to the input terminal of the power system monitoring module. The output terminals of the power system monitoring module, the user interface module, the communication interface module, and the safety protection module are connected to the input terminals of the high and low voltage control modules. The output terminals of the high and low voltage control modules are connected to the input terminals of the user interface module, the communication interface module, the energy conversion module, the motor control module, and the intelligent cooling module. The output terminal of the motor control module is connected to the input terminal of the power module.

[0079] It is understandable that the preset initial quantity refers to the number of pre-set power allocation strategies, the initial power allocation strategy refers to the randomly generated power allocation strategy, and the target fitness refers to the fitness value corresponding to each power allocation strategy.

[0080] In practice, the fitness of randomly generated power allocation strategies is calculated for a number of pre-defined power allocation strategies, and the fitness value corresponding to each power allocation strategy is obtained. For example, 500 power allocation strategies are randomly generated, and the fitness of each power allocation strategy is calculated using the fitness calculation formula to obtain the fitness value corresponding to each of the 500 power allocation strategies, which is the target fitness.

[0081] It should be noted that fitness is calculated as follows:

[0082] f(x)=w1·k(x)+w2·z(x)+w3·g(x)

[0083] Where f(x) is the fitness function, x is the individual in the population whose power allocation strategy is, k(x) is the energy efficiency of the current strategy, w1 is the energy efficiency weight of the current strategy, z(x) is the stability of the current strategy, w2 is the stability weight of the current strategy, g(x) is the battery life of the current strategy, and w3 is the battery life weight of the current strategy.

[0084] In one feasible implementation, steps A01 to A04 may be included before step S10:

[0085] Step A01: Obtain the target vehicle's power supply, number of load points, and power distribution range corresponding to each load point;

[0086] Understandably, the power supply refers to the total power supply of the vehicle, the number of load points refers to the number of power consumption points of the whole vehicle, and the power distribution range refers to the range of power that each load point can receive, such as 1-5 units of power.

[0087] Step A02: Determine the target constraints based on the power supply, the number of load points, and the power distribution range;

[0088] Understandably, the target constraint refers to the constraint on generating the power allocation strategy. For example, to ensure that the total power is allocated, since the allocation range is 1-5 units of power and there are a total of 500 units of power, we can use mathematical calculations to determine at least how many users must receive the maximum allocation (e.g., 5 units of power) to ensure that the total reaches 500.

[0089] Step A03: Generate a preset initial quantity of generated power allocation strategies based on the target constraints;

[0090] It is understandable that generating an energy allocation strategy refers to an energy allocation strategy that is randomly generated based on standard constraints.

[0091] In practice, the power allocation strategy is generated randomly based on the constraints of the generated power allocation strategy. For example, in Excel or other programming environments, a random number generator is used to allocate power to the remaining users. This can be done by using the RAND function (for Excel) or a similar function (for programming languages ​​such as Python) to generate random numbers between 1 and 5, and then rounding them to the nearest integer as needed.

[0092] Step A04: Determine the initial power allocation strategy with a preset initial quantity based on the preset encoding strategy and the generated power allocation strategy.

[0093] It is understandable that a preset encoding strategy refers to a pre-defined data encoding strategy, including binary encoding, real number encoding, or string encoding.

[0094] In practice, the power allocation strategies randomly generated according to the standard constraints are encoded and sorted by selecting any one of the encoding methods such as binary encoding, real number encoding, or string encoding, so as to obtain the number of randomly generated power allocation strategies with a pre-set number of power allocation strategies.

[0095] Step S20: Determine the screening power allocation strategy for the preset screening quantity based on the fitness of each target and the preset screening strategy;

[0096] It is understandable that the preset screening strategy refers to the screening strategy of the energy allocation strategy set in the budget to be retained to the next generation, and the preset screening quantity refers to the pre-set value retention quantity.

[0097] In practice, the fitness of each energy allocation strategy is screened according to the budget-defined selection strategy for retaining energy allocation strategies to the next generation. A preset number of energy allocation strategies are retained to the next generation. For example, a fitness function is applied to each energy allocation strategy, and a selection function is used to retain 50% of the individuals to the next generation. The selection function is as follows:

[0098]

[0099] Where p(x) i ) represents the current strategy x i The probability of being selected.

[0100] In one feasible implementation, step S20 may include steps A21 to A23:

[0101] Step A21: Determine the overall fitness based on the fitness of each target;

[0102] It is understandable that the overall fitness refers to the sum of the fitness values ​​corresponding to each energy allocation strategy in the initial population.

[0103] Step A22: Determine each relative fitness based on the overall fitness and each target fitness;

[0104] It is understandable that relative fitness refers to the value of the target fitness relative to the overall fitness.

[0105] In practice, the relative fitness values ​​of each power allocation strategy and the overall fitness are obtained by comparing the fitness of each power allocation strategy with the overall fitness.

[0106] Step A23: Determine the preset screening quantity and screening power allocation strategy based on the preset screening strategy and each relative fitness.

[0107] Understandably, by applying a fitness function to each energy allocation strategy and using a selection function, 50% of the individuals are retained for the next generation. The selection function is:

[0108]

[0109] In one feasible implementation, step A23 may include steps B231 to B233:

[0110] Step B231: Determine the target mapping interval based on the preset screening strategy and each relative fitness.

[0111] It is understandable that the target mapping interval refers to the mapping interval corresponding to each relative fitness.

[0112] In practice, each relative fitness is mapped to a numerical range according to a preset screening strategy, resulting in a mapping range corresponding to each relative fitness. For example, the relative fitness of each individual is mapped to a continuous range (0-1), forming a virtual roulette.

[0113] Step B232: Generate the corresponding target value according to the preset value range;

[0114] It is understandable that the preset value range refers to the pre-defined value generation range, for example, the value generation range is (0-1), and the target generated value refers to the value generated based on the preset value range.

[0115] In practice, a value between 0 and 1 is randomly generated based on a pre-defined numerical generation range. For example, if the randomly generated value is 0.1, it is the target generated value.

[0116] Step B233: Determine the preset number of screening power allocation strategies based on the target mapping range and the target generated value.

[0117] In practice, a value between 0 and 1 is randomly generated. The individual whose value falls within the specified interval is selected for the next generation of the population. This process is repeated until the required number of individuals are selected. In other words, the energy allocation strategy is determined by the randomly generated value, serving as a selection strategy for energy allocation.

[0118] Step S30: Determine the preset initial number of recombination energy allocation strategies based on the preset screening energy allocation strategy.

[0119] It is understandable that the reorganized power allocation strategy refers to the reorganized power allocation strategy.

[0120] In specific implementation, for example, the preset screening quantity is 50, that is, 50 screening power allocation strategies are selected, and then 50 new power allocation strategies are generated based on the 50 screening power allocation strategies. Finally, the 50 screening power allocation strategies and the 50 new power allocation strategies are combined to form a recombined power allocation strategy with a preset initial quantity of 100.

[0121] In one feasible implementation, step S30 may include steps A31 to A33:

[0122] Step A31: Determine multiple preset cross-number screening power allocation strategies based on the screening power allocation strategy with preset screening quantity;

[0123] It is understandable that the preset number of crossovers refers to the number of crossovers set in advance, such as single-point crossovers, multi-point crossovers, or uniform crossovers.

[0124] In practice, selected individuals are paired up, and new individuals are generated by exchanging certain genes between them. The crossover operation can be single-point crossover, multi-point crossover, or uniform crossover, etc., that is, the crossover method is determined according to the selected energy allocation strategy, i.e., multiple preset energy allocation strategies for crossover.

[0125] Step A32: Determine the cross power allocation strategy with a preset number of preset crosses based on the multiple preset cross-number screening power allocation strategies and the preset cross-strategy;

[0126] It is understandable that the preset crossover strategy includes single-point crossover, multi-point crossover, or uniform crossover, while the crossover power distribution strategy refers to the power distribution strategy generated by the crossover.

[0127] In practice, selected individuals are paired up, and new individuals are generated by exchanging certain genes between them. Crossover operations can be single-point crossover, multi-point crossover, or uniform crossover. To introduce new genetic diversity, the gene values ​​of some individuals are randomly altered. Mutations can be simple single-gene mutations or mutations of multiple genes, thus determining the energy allocation strategy generated by the crossover.

[0128] Step A33: Based on the preset screening quantity screening power allocation strategy and the preset screening quantity cross-screening power allocation strategy, a preset initial quantity recombination power allocation strategy is obtained.

[0129] It is understood that the preset screening quantity of the power allocation strategy and the preset screening quantity of the cross power allocation strategy are combined to obtain the preset initial quantity of the recombinant power allocation strategy, wherein the preset screening quantity is 50% of the preset initial quantity.

[0130] Step S40: Determine the target power allocation strategy based on the preset initial quantity of reorganized power allocation strategy;

[0131] It is understandable that the target power allocation strategy refers to the optimal power allocation strategy.

[0132] In practice, by setting a fitness value, a preset initial number of reorganized power allocation strategies are screened. When the set fitness value is met, the corresponding reorganized power allocation strategy is determined to be the optimal power allocation strategy.

[0133] Step S50: Distribute the power of the target vehicle according to the target power distribution strategy.

[0134] Understandably, the vehicle's electrical energy is allocated according to the optimal power distribution strategy. This means that the vehicle's electrical energy is allocated based on the total electrical energy of the vehicle, the number of power consumption points, and the power distribution range of each power consumption point in the optimal power distribution strategy. This solves the problems of energy loss, reduced energy utilization efficiency, and impact on the driving range and battery life of new energy vehicles in the existing power supply architecture.

[0135] It should be noted that the method for achieving dynamic power allocation using the genetic optimization algorithm is as follows: Step 1, initialize the population and randomly generate 500 power allocation strategies; Step 2, calculate the fitness, which is calculated as follows:

[0136] f(x)=w1·k(x)+w2·z(x)+w3·g(x)

[0137] Where f(x) is the fitness function, x is the individual in the population whose power allocation strategy is, k(x) is the energy efficiency of the current strategy, w1 is the energy efficiency weight of the current strategy, z(x) is the stability of the current strategy, w2 is the stability weight of the current strategy, g(x) is the battery life of the current strategy, and w3 is the battery life weight of the current strategy.

[0138] Step 3: Apply a fitness function to each energy allocation strategy, and use a selection function to retain 50% of individuals to the next generation. The selection function is:

[0139]

[0140] Where p(x) i ) represents the current strategy x i The probability of being selected; Step 4, generate new individuals from the remaining individuals through crossover and mutation, and insert the new individuals into the remaining population to restore the population to the initial population size; Step 5, repeat steps 2, 3, and 4 until the fitness reaches the preset threshold; Step 6, output the power allocation strategy.

[0141] This embodiment determines the corresponding target fitness based on an initial energy allocation strategy with a preset initial quantity; determines a screening energy allocation strategy with a preset screening quantity based on each target fitness and a preset screening strategy; determines a reorganization energy allocation strategy with a preset initial quantity based on the screening energy allocation strategy with the preset screening quantity; determines a target energy allocation strategy based on the reorganization energy allocation strategy with the preset initial quantity; and allocates energy to the target vehicle according to the target energy allocation strategy. By dynamically optimizing energy allocation through intelligent algorithms, real-time energy distribution adjustment is achieved, improving the energy utilization efficiency of new energy vehicles and the performance of their power systems (including the power supply performance and cycle life of the motor and power battery).

[0142] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 The vehicle power distribution method further includes steps S41 to S43 in step S40:

[0143] Step S41: Determine the corresponding reorganization fitness based on the preset initial quantity of reorganization power allocation strategy;

[0144] It is understandable that the reorganization fitness refers to the fitness value corresponding to each reorganization power allocation strategy.

[0145] In practice, the fitness of the reorganized power allocation strategies is calculated for the number of pre-set power allocation strategies, and the fitness value corresponding to each reorganized power allocation strategy is obtained. For example, for 500 reorganized power allocation strategies, the fitness of each reorganized power allocation strategy is calculated using the fitness calculation formula, and the fitness value corresponding to each of the 500 reorganized power allocation strategies is obtained, which is the reorganization fitness.

[0146] Step S42: Compare the fitness of each recombination with the fitness threshold to obtain the fitness comparison results;

[0147] Understandably, the fitness threshold is used to determine the fitness critical value of the optimal power allocation strategy.

[0148] In practice, the fitness corresponding to each reorganized power allocation strategy is compared with the fitness critical value used to determine the optimal power allocation strategy. The comparison result of the relationship between the fitness corresponding to each reorganized power allocation strategy and the fitness critical value used to determine the optimal power allocation strategy is obtained, which is the fitness comparison result.

[0149] Step S43: Determine the target power allocation strategy based on the fitness comparison results.

[0150] It is understandable that the optimal power allocation strategy is determined by comparing the fitness of each reorganized power allocation strategy with the fitness threshold used to determine the optimal power allocation strategy.

[0151] In one feasible implementation, step S43 may include steps A431 to A432:

[0152] Step A431: When the fitness comparison result is that the recombination fitness is greater than the fitness threshold, a corresponding recombination power allocation strategy is determined based on the recombination fitness.

[0153] It is understandable that when the reorganization fitness is greater than the fitness threshold, it indicates that the reorganization fitness meets the screening conditions for the optimal power allocation strategy, and thus the power allocation strategy corresponding to this reorganization fitness is determined.

[0154] Step A432: Determine the target power allocation strategy based on the reorganization fitness-corresponding reorganization power allocation strategy.

[0155] It is understandable that the reorganization fitness corresponding to the reorganization energy allocation strategy that meets the screening conditions of the optimal energy allocation strategy is taken as the optimal energy allocation strategy.

[0156] It should be noted that, such as Figure 4 The genetic optimization algorithm in the high and low voltage control modules of this embodiment includes: a data initialization module for randomly initializing the population of the genetic optimization algorithm, where each individual in the population represents an energy allocation strategy; a fitness calculation module for calculating the fitness of each energy allocation strategy using a fitness function; a data update module for updating the population by selecting, crossovering, mutating, and replacing data based on fitness; a fitness threshold judgment module for determining whether the fitness has reached a threshold; and an energy allocation strategy output module for outputting the energy allocation strategy. The output of the data initialization module is connected to the input of the fitness calculation module, the output of the fitness calculation module is connected to the input of the data update module, the output of the data update module is connected to the input of the fitness threshold judgment module, and the output of the fitness threshold judgment module is connected to the input of the energy allocation strategy output module.

[0157] It should be noted that in this embodiment, the genetic optimization algorithm first represents the solution to the problem as a chromosome of some form during the computation process, typically using binary encoding, real number encoding, or string encoding. Then, a certain number of individuals are randomly generated as the initial population, each individual being a potential solution. A fitness function is then defined to evaluate the quality of the individual solutions. This function is usually the objective function of the optimization problem, such as minimizing or maximizing a target value. Finally, superior individuals are selected based on their fitness for the next generation. The selection operation can be a simple roulette wheel selection or a more complex proportional selection, tournament selection, etc. In simulating the biological reproduction process, selected individuals are paired, and new individuals are generated by exchanging some of their genes. The crossover operation can be single-point crossover, multi-point crossover, or uniform crossover, etc. To introduce new genetic diversity, the gene values ​​of some individuals are randomly changed. Mutation can be a simple single gene mutation or a mutation of multiple genes. A certain number of iterations or a fitness threshold is set as the condition for the algorithm to terminate.

[0158] This embodiment determines the corresponding recombination fitness based on the preset initial number of recombination power allocation strategies; compares each recombination fitness with a fitness threshold to obtain a fitness comparison result; and determines the target power allocation strategy based on the fitness comparison result. By determining the corresponding recombination fitness through recombination power allocation strategies, and then selecting the optimal power allocation strategy based on the fitness threshold, the target power allocation strategy is obtained. This achieves dynamic optimization of power allocation using intelligent algorithms and realizes real-time adjustment and allocation of energy.

[0159] For example, to help understand the implementation process of the vehicle power distribution method obtained by combining this embodiment with the above embodiment one, please refer to... Figure 5 , Figure 5 A simplified flowchart of a vehicle power allocation method is provided, specifically: Step 1, initialize the population and randomly generate 500 power allocation strategies; Step 2, calculate the fitness, which is calculated as follows:

[0160] f(x)=w1·k(x)+w2·z(x)+w3·g(x)

[0161] Where f(x) is the fitness function, x is the individual in the population whose power allocation strategy is, k(x) is the energy efficiency of the current strategy, w1 is the energy efficiency weight of the current strategy, z(x) is the stability of the current strategy, w2 is the stability weight of the current strategy, g(x) is the battery life of the current strategy, and w3 is the battery life weight of the current strategy.

[0162] Step 3: Apply a fitness function to each energy allocation strategy, and use a selection function to retain 50% of individuals to the next generation. The selection function is:

[0163]

[0164] Where p(x) i ) represents the current strategy x i The probability of being selected; Step 4, generate new individuals from the remaining individuals through crossover and mutation, and insert the new individuals into the remaining population to restore the population to the initial population size; Step 5, repeat steps 2, 3, and 4 until the fitness reaches the preset threshold; Step 6, output the power allocation strategy.

[0165] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the vehicle power distribution method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0166] This application also provides a vehicle power distribution device; please refer to... Figure 6 The vehicle power distribution device includes:

[0167] Processing module 10 is used to determine the corresponding target fitness based on the preset initial energy allocation strategy;

[0168] The screening module 20 is used to determine the screening power allocation strategy with a preset screening quantity based on the fitness of each target and the preset screening strategy.

[0169] Recombination module 30 is used to determine a preset initial number of recombination energy allocation strategies based on the preset screening energy allocation strategy.

[0170] Comparison module 40 is used to determine the target power allocation strategy based on the preset initial number of reorganized power allocation strategies;

[0171] The allocation module 50 is used to allocate the power of the target vehicle according to the target power allocation strategy.

[0172] Optionally, the processing module 10 is further configured to:

[0173] Obtain the target vehicle's power supply, number of load points, and power distribution range corresponding to each load point;

[0174] The target constraints are determined based on the power supply, the number of load points, and the power distribution range.

[0175] Generate a preset initial quantity of generated power allocation strategies based on the target constraints;

[0176] The initial power allocation strategy is determined based on the preset encoding strategy and the generated power allocation strategy.

[0177] Optionally, the filtering module 20 is further configured to:

[0178] Determine the overall fitness based on the fitness of each target;

[0179] Each relative fitness is determined based on the overall fitness and each target fitness;

[0180] A screening power allocation strategy that determines the preset screening quantity based on the preset screening strategy and each relative fitness.

[0181] Optionally, the filtering module 20 is further configured to:

[0182] The target mapping interval is determined based on the preset screening strategy and various relative fitness levels;

[0183] Generate the corresponding target value based on the preset value range;

[0184] The preset number of screening power allocation strategies is determined based on the target mapping range and the target generated value.

[0185] Optionally, the recombination module 30 is further configured to:

[0186] Based on the preset screening quantity screening power allocation strategy, determine multiple preset cross-number screening power allocation strategies;

[0187] The preset number of cross-power allocation strategies are determined based on the preset number of cross-strategies and the preset cross-strategies.

[0188] Based on the preset number of screening power allocation strategies and the preset number of cross-screening power allocation strategies, a preset initial number of recombination power allocation strategies is obtained.

[0189] Optionally, the comparison module 40 is further configured to:

[0190] The corresponding reorganization fitness is determined according to the preset initial quantity of reorganization power allocation strategy;

[0191] The fitness of each recombination and the fitness threshold are compared to obtain the fitness comparison results;

[0192] The target power allocation strategy is determined based on the fitness comparison results.

[0193] Optionally, the comparison module 40 is further configured to:

[0194] When the fitness comparison result is that the recombination fitness is greater than the fitness threshold, the corresponding recombination power allocation strategy is determined based on the recombination fitness.

[0195] The target power allocation strategy is determined based on the reorganization fitness-corresponding reorganization power allocation strategy.

[0196] The vehicle power distribution device provided in this application, employing the vehicle power distribution method in the above embodiments, can solve the technical problem of low energy utilization efficiency in the power supply architecture of new energy vehicles in the prior art. Compared with the prior art, the beneficial effects of the vehicle power distribution device provided in this application are the same as those of the vehicle power distribution method provided in the above embodiments, and other technical features in the vehicle power distribution device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0197] This application provides a vehicle power distribution device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the vehicle power distribution method in the above embodiment 1.

[0198] The following is for reference. Figure 7 The diagram illustrates a structural schematic suitable for implementing vehicle power distribution devices according to embodiments of this application. The vehicle power distribution devices in these embodiments may include, but are not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 7 The vehicle power distribution device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0199] like Figure 7As shown, the vehicle power distribution device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the vehicle power distribution device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. The communication device 1009 allows the vehicle power distribution equipment to communicate wirelessly or wiredly with other devices to exchange data. Although the figures show vehicle power distribution equipment with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0200] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0201] The vehicle power distribution device provided in this application, employing the vehicle power distribution method described in the above embodiments, can solve the technical problem of low energy utilization efficiency in the power supply architecture of new energy vehicles in the prior art. Compared with the prior art, the beneficial effects of the vehicle power distribution device provided in this application are the same as those of the vehicle power distribution method provided in the above embodiments, and other technical features of the vehicle power distribution device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0202] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0203] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0204] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the vehicle power distribution method in the above embodiments.

[0205] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0206] The aforementioned computer-readable storage medium may be included in the vehicle power distribution equipment; or it may exist independently and not be installed in the vehicle power distribution equipment.

[0207] The aforementioned computer-readable storage medium carries one or more programs that, when executed by a vehicle power distribution device, cause the vehicle power distribution device to: determine a corresponding target fitness based on a preset initial power distribution strategy; determine a preset screening power distribution strategy based on each target fitness and a preset screening strategy; determine a preset initial number of reorganization power distribution strategies based on the preset screening power distribution strategy; determine a target power distribution strategy based on the preset initial number of reorganization power distribution strategies; and perform power distribution to the target vehicle based on the target power distribution strategy.

[0208] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0209] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0210] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0211] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described vehicle power distribution method, which can solve the technical problem of low energy utilization efficiency in the power supply architecture of new energy vehicles in the prior art. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the vehicle power distribution method provided in the above embodiments, and will not be repeated here.

[0212] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the vehicle power distribution method described above.

[0213] The computer program product provided in this application can solve the technical problem of low energy utilization efficiency in the power supply architecture of new energy vehicles in the prior art. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the vehicle power distribution method provided in the above embodiments, and will not be repeated here.

[0214] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for distributing electrical energy in a vehicle, characterized in that, The vehicle power distribution method includes: The target fitness is determined based on the power system status and the initial power allocation strategy with a preset initial quantity. A screening power allocation strategy is determined based on the fitness of each target and the preset screening strategy to determine the preset screening quantity; Based on the preset screening quantity screening power allocation strategy, a preset initial quantity of recombination power allocation strategy is determined; The target power allocation strategy is determined based on the preset initial quantity of reorganized power allocation strategy; The target vehicle's power is allocated according to the target power allocation strategy. Before determining the corresponding target fitness based on the power system state and the preset initial power allocation strategy, the method further includes: Obtain the target vehicle's power supply, number of load points, and power distribution range corresponding to each load point; The target constraints are determined based on the power supply, the number of load points, and the power distribution range. Generate a preset initial quantity of generated power allocation strategies based on the target constraints; The initial power allocation strategy is determined based on the preset encoding strategy and the generated power allocation strategy, which sets a preset initial quantity.

2. The method as described in claim 1, characterized in that, The energy allocation strategy for determining the preset screening quantity based on the fitness of each target and the preset screening strategy includes: Determine the overall fitness based on the fitness of each target; Each relative fitness is determined based on the overall fitness and each target fitness; A screening power allocation strategy that determines the preset screening quantity based on the preset screening strategy and each relative fitness.

3. The method as described in claim 2, characterized in that, The energy allocation strategy for screening based on the preset screening strategy and each relative fitness level to determine the preset screening quantity includes: The target mapping interval is determined based on the preset screening strategy and various relative fitness levels; Generate the corresponding target value based on the preset value range; The preset number of screening power allocation strategies is determined based on the target mapping range and the target generated value.

4. The method as described in claim 1, characterized in that, The step of determining the preset initial quantity of reorganization power allocation strategy based on the preset screening quantity of screening power allocation strategy includes: Based on the preset screening quantity screening power allocation strategy, determine multiple preset cross-number screening power allocation strategies; The preset number of cross-power allocation strategies are determined based on the screening power allocation strategies with multiple preset cross-numbers and the preset cross-strategy. Based on the preset number of screening power allocation strategies and the preset number of cross-screening power allocation strategies, a preset initial number of recombination power allocation strategies is obtained.

5. The method as described in claim 1, characterized in that, The step of determining the target power allocation strategy based on the preset initial quantity of reorganized power allocation strategy includes: The corresponding reorganization fitness is determined according to the preset initial quantity of reorganization power allocation strategy; The fitness of each recombination and the fitness threshold are compared to obtain the fitness comparison results; The target power allocation strategy is determined based on the fitness comparison results.

6. The method as described in claim 5, characterized in that, The step of determining the target power allocation strategy based on the fitness comparison results includes: When the fitness comparison result is that the recombination fitness is greater than the fitness threshold, the corresponding recombination power allocation strategy is determined based on the recombination fitness. The target power allocation strategy is determined based on the reorganization fitness-corresponding reorganization power allocation strategy.

7. A vehicle power distribution architecture, characterized in that, The architecture includes: a high and low voltage control module, an energy conversion module, a high voltage battery pack, a low voltage auxiliary module, and a power system detection module; The power system detection module is used to monitor the power system status corresponding to the high-voltage battery pack and the low-voltage auxiliary module, and send the power system status to the high and low voltage control module. The high and low voltage control module receives the power system status sent by the power system monitoring module, determines the corresponding target fitness based on the power system status and a preset initial number of initial power allocation strategies, determines a preset number of screening power allocation strategies based on each target fitness and a preset screening strategy, determines a preset number of reorganization power allocation strategies based on the preset number of screening power allocation strategies, determines a preset initial number of reorganization power allocation strategies based on the preset initial number of reorganization power allocation strategies, and sends the target power allocation strategy to the energy conversion module. The energy conversion module receives the target power distribution strategy sent by the high and low voltage control module, and distributes power to the high voltage battery pack and the low voltage auxiliary module according to the target power distribution strategy. The power system detection module is further configured to acquire the power supply of the target vehicle, the number of load points, and the power allocation range corresponding to each load point; determine target constraints based on the power supply, the number of load points, and the power allocation range; generate a preset initial number of generated power allocation strategies based on the target constraints; and determine an initial number of preset initial power allocation strategies based on a preset coding strategy and the generated power allocation strategies.

8. A vehicle power distribution device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the vehicle power distribution method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the vehicle power distribution method as described in any one of claims 1 to 6.

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