Control method and device of fuel cell vehicle, vehicle controller, storage medium

Abstract

The application relates to a control method and device of a fuel cell vehicle, a vehicle controller, a storage medium and a computer program product. The method comprises the following steps: acquiring road condition information of a pre-traveling road section of the vehicle; acquiring energy consumption road sections and energy recovery road sections in the pre-traveling road section according to the road condition information; acquiring an estimated energy demand value of each energy consumption road section and each energy recovery road section respectively; and dynamically adjusting an actual output power of the fuel cell vehicle according to the estimated energy demand value corresponding to each road section. The method can reasonably adjust the output power of a fuel cell system, and avoid the situation that the vehicle cannot travel due to the fact that the power battery is depleted while the fuel in the fuel cell is still remaining.

Description

Technical Field

[0001] This application relates to the field of fuel cell technology, and in particular to a control method, device, vehicle controller, storage medium, and computer program product for a fuel cell electric vehicle. Background Technology

[0002] With the development of automotive technology, a variety of models equipped with hybrid systems to achieve long driving range have emerged, such as fuel cell (FC) models.

[0003] Current hybrid electric vehicles typically use a fuel cell-battery hybrid system to power the drive motor. However, in related technologies, controlling the output power of the hybrid system can easily lead to the depletion of the battery's energy. Summary of the Invention

[0004] Therefore, it is necessary to provide a control method, device, vehicle controller, computer-readable storage medium, and computer program product for a fuel cell vehicle that can control the output power of the fuel cell system, in order to address the above-mentioned technical problems.

[0005] In a first aspect, this application provides a control method for a gas-powered electric vehicle, comprising:

[0006] Obtain road condition information for the section of road the vehicle is about to travel;

[0007] Based on the road condition information, obtain the energy consumption sections and energy recovery sections in the pre-driving road segment;

[0008] The estimated energy demand values ​​for each energy consumption segment and each energy recovery segment are obtained respectively.

[0009] The actual output power of the gas-electric vehicle is dynamically adjusted based on the estimated energy demand value corresponding to each road segment.

[0010] In one embodiment, the road condition information includes road slope angle information and road slope length information, and the step of obtaining the estimated energy demand values ​​for each energy-consuming road segment and each energy-recovering road segment includes:

[0011] Obtain the weight information of the vehicle;

[0012] The first estimated energy demand value of the energy-consuming road segment is determined based on the weight information, the road slope angle information and the road slope length information of the energy-consuming road segment;

[0013] The second estimated energy demand value of the energy recovery section is determined based on the weight information, the road slope angle information and the road slope length information of the energy recovery section.

[0014] In one embodiment, the first estimated energy demand value is positive, and the second estimated energy demand value is negative.

[0015] In one embodiment, the step of dynamically adjusting the actual output power of the gas-electric vehicle based on the estimated energy demand value corresponding to each road segment includes:

[0016] The estimated total available power of the power battery is obtained when the vehicle enters the next road segment from the current road segment; the next road segment is one of the energy consumption road segment and the energy recovery road segment;

[0017] The estimated output power of the fuel cell in the next segment is obtained based on the estimated total available power and the estimated energy demand value.

[0018] The actual output power of the gas-electric vehicle on the next road segment is adjusted according to the estimated output power.

[0019] In one embodiment, obtaining the estimated road condition information for the vehicle's pre-trip route includes:

[0020] Obtain navigation information for the vehicle's movement;

[0021] The road condition data of the vehicle's pre-departure route is obtained based on the navigation information;

[0022] The road condition information of the vehicle's intended route is obtained based on the road condition data.

[0023] In one embodiment, the method further includes:

[0024] Obtain the actual fuel and electric power output of the route already traveled by the vehicle;

[0025] The estimated energy demand value of the traveled road segment is corrected based on the actual power output of the fuel; the traveled road segment is one of the energy consumption road segment and the energy recovery road segment.

[0026] Secondly, this application also provides a control device for a gas-powered electric vehicle, comprising:

[0027] The road condition information acquisition module is used to acquire road condition information of the road segment that the vehicle is about to travel on;

[0028] The road segment division module is used to obtain the energy consumption road segment and the energy recovery road segment in the pre-driving road segment based on the road condition information;

[0029] The calculation module is used to obtain the estimated energy demand values ​​for each of the energy consumption sections and each of the energy recovery sections, respectively.

[0030] The power adjustment module is used to dynamically adjust the actual output power of the gas-electric vehicle according to the estimated energy demand value corresponding to each road segment.

[0031] Thirdly, this application also provides a vehicle controller, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the control method for the gas-electric vehicle provided in any of the above embodiments.

[0032] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the control method for the gas-powered vehicle provided in any of the above embodiments.

[0033] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the control method for a gas-powered vehicle provided in any of the above embodiments.

[0034] The aforementioned control method, device, vehicle controller, storage medium, and computer program product for fuel cell electric vehicles acquire road condition information of the vehicle's pre-driving route. Based on this information, they identify energy consumption and energy recovery sections within the pre-driving route and obtain the estimated energy demand for each section. Furthermore, based on the estimated energy demand for each section, they dynamically adjust the actual output power of the fuel cell electric vehicle to prevent the vehicle from becoming immobile due to depleted battery power while the fuel cell still has fuel remaining. Simultaneously, in the energy recovery section, the output power of the fuel cell in the fuel cell electric vehicle is appropriately set to reduce the charging power of the fuel cell to the battery, allowing the battery to fully absorb the recovered braking energy, thereby improving the utilization rate of the recovered braking energy and avoiding energy waste. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a flowchart illustrating the control method for a gas-powered electric vehicle in one embodiment;

[0037] Figure 2 This is a schematic diagram illustrating the division of energy consumption and energy recovery road sections in one embodiment;

[0038] Figure 3This is a schematic diagram of the process for obtaining estimated road condition information for a vehicle's pre-trip route in one embodiment;

[0039] Figure 4 This is a schematic diagram of the process for obtaining the estimated energy demand values ​​for each energy consumption segment and each energy recovery segment in one embodiment.

[0040] Figure 5 This is a flowchart illustrating the process of dynamically adjusting the actual output power of a gas-electric vehicle based on the estimated energy demand value corresponding to each road segment in one embodiment.

[0041] Figure 6 This is a flowchart illustrating the control method for a gas-powered electric vehicle in another embodiment;

[0042] Figure 7 This is a structural block diagram of the control device for a gas-powered vehicle in one embodiment;

[0043] Figure 8 This is an internal structural diagram of the vehicle controller in one embodiment. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0045] The control method for fuel cell vehicles provided in this application can be applied to the vehicle controller of fuel cell vehicles.

[0046] In one exemplary embodiment, such as Figure 1 As shown, a control method for a gas-powered electric vehicle is provided, including the following steps 102-108.

[0047] Step 102: Obtain road condition information for the section of road the vehicle is about to travel.

[0048] The pre-trip section refers to the route the vehicle will travel on. Before the vehicle departs, the vehicle controller can obtain road condition information for the route the vehicle will travel on. This road condition information includes the road's flatness, gradient, length, and congestion information.

[0049] Step 104: Obtain the energy consumption section and energy recovery section in the pre-driving section based on the road condition information.

[0050] The vehicle controller, based on the received road condition information for the pre-trip route, divides the route into multiple energy consumption sections and multiple energy recovery sections. Energy consumption sections are typically flat or uphill sections. Energy recovery sections are typically downhill sections. For example... Figure 2 As shown, sections W1 and W3 are energy consumption sections, while sections W2 and W4 are energy recovery sections.

[0051] Electric vehicles typically employ a hybrid power system consisting of a fuel cell and a battery. The fuel cell serves as the primary power source, while the battery provides auxiliary power. When higher power demands are required, both the fuel cell and battery work together to provide the energy needed for vehicle operation. When power demands are lower, the fuel cell charges the battery. Additionally, during deceleration, the drive motor converts kinetic energy into electrical energy to charge the battery, effectively recovering braking energy. Therefore, in areas of high energy consumption, the fuel cell can power the drive motor alone, or both the fuel cell and battery can power the drive motor together, without involving braking energy recovery. In areas of energy recovery, the fuel cell powers the drive motor alone, while the drive motor simultaneously recovers braking energy to charge the battery.

[0052] Step 106: Obtain the estimated energy demand for each energy consumption segment and each energy recovery segment.

[0053] The energy demand value refers to the energy required by the drive motor when driving on this road segment. After determining the energy consumption segment and the energy recovery segment, the vehicle controller calculates the estimated energy demand value for each energy consumption segment based on the road condition information of each energy consumption segment, and calculates the estimated energy demand value for each energy recovery segment based on the road condition information of each energy recovery segment.

[0054] Step 108: Dynamically adjust the actual output power of the gas-electric vehicle according to the estimated energy demand value corresponding to each road segment.

[0055] Before a vehicle enters the next road segment from the current one, the vehicle controller dynamically adjusts the output power of the fuel cell in the electric vehicle based on the estimated energy demand of the next road segment, ensuring that the vehicle can smoothly exit the current road segment.

[0056] In this embodiment, the vehicle controller acquires road condition information for the vehicle's pre-driving route to determine energy consumption and energy recovery sections. It then obtains the estimated energy demand for each energy consumption and recovery section. Furthermore, based on the estimated energy demand for each section, the actual output power of the electric vehicle is dynamically adjusted to prevent the vehicle from becoming immobile due to depleted battery power while the fuel cell still has fuel remaining. Simultaneously, in the energy recovery sections, the output power of the fuel cell is appropriately set to reduce the charging power of the fuel cell to the battery, allowing the battery to fully absorb the recovered braking energy, improving the utilization rate of the recovered braking energy, and avoiding energy waste.

[0057] In one embodiment, such as Figure 3 As shown, the estimated road condition information for the vehicle's pre-trip section is obtained, including steps 302-306.

[0058] Step 302: Obtain navigation information for vehicle travel.

[0059] The navigation information includes information about the route between the vehicle's origin and destination. The gas-powered electric vehicle is equipped with a high-precision electronic map, which determines the navigation information from the origin to the destination before the vehicle sets off.

[0060] Step 304: Obtain road condition data for the vehicle's planned route based on navigation information.

[0061] Navigation information from high-precision electronic maps can provide road condition data for the route a vehicle is about to travel, including the latitude and longitude, gradient, length, and estimated travel time of the route.

[0062] Step 306: Obtain road condition information for the section of road the vehicle is about to travel based on road condition data.

[0063] The vehicle controller can obtain road condition information for the pre-trip route based on road condition data sent from a high-precision electronic map. This information includes the road gradient angle and road gradient length of the pre-trip route. Optionally, the road condition information may also include congestion information, the vehicle's average speed over the pre-trip route, and travel time.

[0064] In this embodiment of the application, by obtaining the navigation information of the vehicle, obtaining the road condition data of the vehicle's pre-driving route based on the navigation information, and obtaining the road condition information of the vehicle's pre-driving route based on the road condition data, the vehicle controller can estimate the energy consumption level of the vehicle's pre-driving route based on the road condition information.

[0065] In one embodiment, such as Figure 4 As shown, the estimated energy demand values ​​for each energy consumption segment and each energy recovery segment are obtained, including steps 402-406.

[0066] Step 402: Obtain the vehicle's weight information.

[0067] The vehicle controller can obtain the vehicle's weight information based on the vehicle's acceleration, speed, and driving force. For example, the vehicle controller can obtain driving data similar to the current driving conditions based on the vehicle's past driving data, thereby calculating the vehicle's weight information.

[0068] Step 404: Determine the first estimated energy demand value of the energy-consuming road segment based on the weight information, the road slope angle information and the road slope length information of the energy-consuming road segment.

[0069] The vehicle controller extracts the road slope angle and slope length information of the energy-consuming road segment from the road condition information, and determines the estimated average driving speed of the vehicle in this energy-consuming road segment based on the road slope angle and slope length information. Furthermore, the vehicle controller can determine the first estimated energy demand value for this energy-consuming road segment based on the estimated average driving speed of the vehicle in this energy-consuming road segment and the vehicle weight.

[0070] Step 406: Determine the second estimated energy demand value of the energy recovery section based on the weight information, the road slope angle information and the road slope length information of the energy recovery section.

[0071] The vehicle controller extracts the road slope angle and slope length information of the energy recovery section from the road condition information, and determines the estimated average driving speed of the vehicle in this energy consumption section based on the road slope angle and slope length information. Furthermore, the vehicle controller can determine a second estimated energy demand value based on the estimated average speed of the vehicle in this energy recovery section and the vehicle weight.

[0072] In this embodiment of the application, by obtaining the vehicle's weight information, and determining the first estimated energy demand value of the energy consumption section based on the weight information, the road slope angle information and the road slope length information of the energy consumption section, and determining the second estimated energy demand value of the energy recovery section based on the weight information, the road slope angle information and the road slope length information of the energy recovery section, the energy demand value of the vehicle's pre-driving section is estimated, ensuring that the initial energy of the vehicle's fuel cell and power battery can meet the vehicle's driving needs.

[0073] In one embodiment, such as Figure 5 As shown, the actual output power of the gas-electric vehicle is dynamically adjusted according to the estimated energy demand value corresponding to each road segment, including steps 502-506.

[0074] Step 502: Obtain the estimated total available power of the power battery when the vehicle enters the next road segment from the current road segment.

[0075] The next section is either an energy consumption section or an energy recovery section.

[0076] Before the vehicle enters the next road segment, the vehicle controller needs to estimate the total available capacity of the power battery. The estimated total available capacity of the power battery includes the sum of the energy recovered by the drive motor in each energy recovery segment and each energy consumption segment following the current road segment, as well as the charging power of the fuel cell for charging the power battery. For example, if the current road segment is segment i-1 and the next road segment is segment i, the estimated total available capacity of the power battery can be calculated using the following formula:

[0077] W i电池 =W i +W i燃 +W i+1 +W i+1燃 +W i+2 +W i+2燃 +…+W n +W n燃 +C,

[0078] Among them W i电池 This indicates the estimated total available capacity of the power battery, in W. i W is the energy recovered to drive the motor. i燃 The charging power of the fuel cell for charging the power battery, where C is the initial charge of the power battery, which is a constant. The value of C depends on the vehicle model.

[0079] Step 504: Obtain the estimated output power of the fuel cell in the next segment based on the estimated total available power and the estimated energy demand.

[0080] The vehicle controller needs to determine the estimated output power of the fuel cell for the next segment based on the estimated total available battery charge and the estimated energy demand for that segment. When the current segment is an energy recovery segment and the next segment is an energy consumption segment, the vehicle controller needs to rationally set the estimated output power of the fuel cell based on the estimated energy demand of the drive motor and the estimated total available battery charge for the next energy consumption segment. This prevents situations where the battery charge is depleted but the fuel cell still has fuel remaining, ensuring the vehicle can smoothly pass through the next energy consumption segment.

[0081] Optionally, when the current driving segment is an energy consumption segment and the next segment is an energy recovery segment, the vehicle controller needs to reasonably set the estimated output power of the fuel cell based on the estimated energy demand of the drive motor in the next energy recovery segment and the estimated total available power of the battery. The estimated energy demand value may be positive or negative. Optionally, the first estimated energy demand value is positive, and the second estimated energy demand value is negative. In the energy recovery segment, the fuel cell alone powers the drive motor. In this segment, the vehicle typically decelerates, and the drive motor converts kinetic energy into electrical energy to charge the battery, i.e., regenerates braking energy; therefore, the second estimated energy demand value is negative. In the energy consumption segment, the fuel cell and the battery power the drive motor, and the drive motor does not perform regenerative braking; therefore, the first estimated energy demand value is positive.

[0082] In the next energy recovery section, the drive motor recovers braking energy to charge the power battery. At the same time, most of the estimated output power of the fuel cell is also used to charge the power battery. Therefore, it is necessary to comprehensively consider the vehicle's braking energy recovery level and reasonably set the estimated output power of the fuel cell in the next energy recovery section to reduce the space occupied by the fuel cell for charging the power battery, so as to increase the charging space of the braking energy recovered by the drive motor and improve the utilization rate of the recovered energy.

[0083] Step 506: Adjust the actual output power of the gas-electric vehicle in the next road segment according to the estimated output power.

[0084] The actual output power of the electric vehicle in the next road segment includes the actual output power of the fuel cell and the actual output power of the power battery. The vehicle controller controls the actual output power of the fuel cell and the power battery in the next road segment based on the estimated output power of the fuel cell. For example, if the next road segment is an energy recovery segment, the vehicle controller controls the charging power of the fuel cell to maintain a moderate level, so that the power battery can fully absorb the braking energy recovered by the drive motor.

[0085] In this embodiment, the estimated total available power of the power battery when the vehicle enters the next road segment from the current road segment is obtained. Based on the estimated total available power and the estimated energy demand, the estimated output power of the fuel cell in the next road segment is obtained. The actual output power of the fuel cell vehicle in the next road segment is adjusted according to the estimated output power to avoid the situation where the power battery is depleted and the vehicle cannot move when the next road segment is an energy consumption segment. When the next road segment is an energy recovery segment, the output power of the fuel cell is controlled to maintain an appropriate level by estimating the available power battery power, so as to reduce the space occupied by the fuel cell for charging the power battery and enable the power battery to fully absorb the recovered braking energy.

[0086] In one embodiment, such as Figure 6 As shown, the control method for a gas-fired electric vehicle includes steps 602-612.

[0087] Step 602: Obtain road condition information for the section of road the vehicle is about to travel.

[0088] Step 604: Obtain the energy consumption section and energy recovery section in the pre-driving section based on the road condition information.

[0089] Step 606: Obtain the estimated energy demand for each energy consumption segment and each energy recovery segment.

[0090] Step 608: Dynamically adjust the actual output power of the gas-electric vehicle according to the estimated energy demand value corresponding to each road segment.

[0091] Steps 602-608 correspond one-to-one with steps 102-108 above, and will not be repeated here.

[0092] Step 610: Obtain the actual fuel-electric power output of the road section already traveled by the vehicle.

[0093] The traveled section can be either an energy consumption section or an energy recovery section. After traversing each energy consumption section or each energy recovery section, the vehicle controller needs to calculate the actual power output of the vehicle's fuel cell system for that section. The actual power output includes the output power of the fuel cell, the power consumption of the battery, and the braking energy recovered by the drive motor.

[0094] Step 612: Correct the estimated energy demand value of the traveled road section based on the actual fuel and electricity power.

[0095] The vehicle controller needs to adjust the estimated energy demand for the traveled route based on the actual fuel-electric power output and determine whether the remaining fuel in the fuel cell is sufficient to support the vehicle to its destination. If the remaining fuel is insufficient, the driver needs to be reminded to refuel via display devices such as the vehicle's instrument cluster.

[0096] In this embodiment, by acquiring road condition information of the vehicle's pre-trip route, and dividing the route into energy consumption and energy recovery sections based on this information, the estimated energy demand for each section is obtained. The actual output power of the electric vehicle is dynamically adjusted based on this estimated energy demand to prevent the vehicle from being unable to move due to depleted battery power while the fuel cell still has fuel remaining. Simultaneously, by controlling the output power of the fuel cell in the electric vehicle, the charging power of the fuel cell to the battery is appropriately reduced, allowing the battery to fully absorb the recovered braking energy and improving its utilization rate. Furthermore, by acquiring the actual electric power of each traveled section and correcting the estimated energy demand for that section based on the actual electric power, the estimated total available battery power can be adjusted in a timely manner, thus adjusting the vehicle's actual output power on untraveled sections and ensuring the vehicle can reach its destination smoothly.

[0097] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0098] Based on the same inventive concept, this application also provides a control device for a gasoline-powered vehicle to implement the control method for the gasoline-powered vehicle described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the control device for gasoline-powered vehicles provided below can be found in the limitations of the control method for gasoline-powered vehicles described above, and will not be repeated here.

[0099] In one exemplary embodiment, such as Figure 7 As shown, a control device for a gas-powered electric vehicle is provided, comprising: a road condition information acquisition module 702, a road segment division module 704, a calculation module 706, and a power adjustment module 708, wherein:

[0100] The road condition information acquisition module 702 is used to acquire road condition information of the road segment that the vehicle is about to travel on;

[0101] The road segmentation module 704 is used to obtain energy consumption road segments and energy recovery road segments in the pre-driving road segment based on road condition information;

[0102] The calculation module 706 is used to obtain the estimated energy demand values ​​for each energy consumption segment and each energy recovery segment, respectively.

[0103] The power adjustment module 708 is used to dynamically adjust the actual output power of the gas-electric vehicle according to the estimated energy demand value corresponding to each road segment.

[0104] In one embodiment, the calculation module is also used to obtain the vehicle's weight information;

[0105] The first estimated energy demand value for the energy-consuming road section is determined based on the weight information, the road slope angle information, and the road slope length information of the energy-consuming road section.

[0106] The second estimated energy demand value for the energy recovery section is determined based on the weight information, the road slope angle information, and the road slope length information of the energy recovery section.

[0107] In one embodiment, the power regulation module is further configured to obtain the estimated total available charge of the power battery when the vehicle enters the next road segment from the current road segment; the next road segment is one of an energy consumption road segment and an energy recovery road segment;

[0108] The estimated output power of the fuel cell in the next segment is obtained based on the estimated total available power and the estimated energy demand.

[0109] Adjust the actual output power of the gas turbine electric vehicle on the next road segment based on the estimated output power.

[0110] In one embodiment, the traffic information acquisition module is also used to acquire navigation information of the vehicle's movement;

[0111] Obtain road condition data for the vehicle's intended route based on navigation information;

[0112] Obtain road condition information for the route the vehicle is about to travel based on road condition data.

[0113] In one embodiment, the control device for the fuel-electric vehicle further includes a power correction module for obtaining the actual fuel-electric power of the road section already traveled by the vehicle.

[0114] The estimated energy demand of the traveled road section is corrected based on the actual power output of the fuel and electricity; the traveled road section is either an energy consumption road section or an energy recovery road section.

[0115] The various modules in the control device of the aforementioned gas-electric vehicle can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of the vehicle controller in hardware form or independent of it, or stored in the memory of the vehicle controller in software form, so that the processor can call and execute the corresponding operations of each module.

[0116] In one exemplary embodiment, a vehicle controller is provided, which may be a server, and its internal structure diagram may be as follows. Figure 8 As shown, the vehicle controller includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores data such as road condition information, estimated energy demand, and estimated total available battery power. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a control method for a fuel-electric vehicle.

[0117] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the vehicle controller to which the present application is applied. A specific vehicle controller may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0118] In one exemplary embodiment, a vehicle controller is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0119] Obtain road condition information for the section of road the vehicle is scheduled to travel on;

[0120] Based on road condition information, identify energy consumption and energy recovery sections within the pre-trip route;

[0121] Obtain the estimated energy demand for each energy consumption segment and each energy recovery segment separately;

[0122] The actual output power of the gas-electric vehicle is dynamically adjusted based on the estimated energy demand for each road segment.

[0123] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0124] Obtain road condition information for the section of road the vehicle is scheduled to travel on;

[0125] Based on road condition information, identify energy consumption and energy recovery sections within the pre-trip route;

[0126] Obtain the estimated energy demand for each energy consumption segment and each energy recovery segment separately;

[0127] The actual output power of the gas-electric vehicle is dynamically adjusted based on the estimated energy demand for each road segment.

[0128] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0129] Obtain road condition information for the section of road the vehicle is scheduled to travel on;

[0130] Based on road condition information, identify energy consumption and energy recovery sections within the pre-trip route;

[0131] Obtain the estimated energy demand for each energy consumption segment and each energy recovery segment separately;

[0132] The actual output power of the gas-electric vehicle is dynamically adjusted based on the estimated energy demand for each road segment.

[0133] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0134] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0135] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A control method for a gas-powered electric vehicle, characterized in that, The method includes: Obtain road condition information for the section of road the vehicle is about to travel; Based on the road condition information, obtain the energy consumption sections and energy recovery sections in the pre-driving road segment; The estimated energy demand values ​​for each energy consumption segment and each energy recovery segment are obtained respectively. The estimated total available power of the power battery is obtained when the vehicle enters the next road segment from the current road segment; the next road segment is one of the energy consumption road segment and the energy recovery road segment; the estimated total available power includes the sum of the energy recovered by the drive motor in each energy recovery road segment and each energy consumption road segment after the current road segment and the charging power of the fuel cell for charging the power battery; The estimated output power of the fuel cell in the next segment is obtained based on the estimated total available power and the estimated energy demand value. The actual output power of the vehicle in the next road segment is adjusted based on the estimated output power.

2. The method according to claim 1, characterized in that, The road condition information includes road slope angle information and road slope length information. The step of obtaining the estimated energy demand values ​​for each energy-consuming road segment and each energy-recovering road segment includes: Obtain the weight information of the vehicle; The first estimated energy demand value of the energy-consuming road segment is determined based on the weight information, the road slope angle information and the road slope length information of the energy-consuming road segment; The second estimated energy demand value of the energy recovery section is determined based on the weight information, the road slope angle information and the road slope length information of the energy recovery section.

3. The method according to claim 2, characterized in that, The first estimated energy demand value is positive, and the second estimated energy demand value is negative.

4. The method according to claim 1, characterized in that, The step of obtaining the estimated road condition information for the vehicle's pre-trip route includes: Obtain navigation information for the vehicle's movement; The road condition data of the vehicle's pre-departure route is obtained based on the navigation information; The road condition information of the vehicle's intended route is obtained based on the road condition data.

5. The method according to claim 1, characterized in that, The method further includes: Obtain the actual fuel and electric power output of the route already traveled by the vehicle; The estimated energy demand value of the traveled road segment is corrected based on the actual power output of the fuel; the traveled road segment is one of the energy consumption road segment and the energy recovery road segment.

6. A control device for a fuel-electric vehicle, characterized in that, The device includes: The road condition information acquisition module is used to acquire road condition information of the road segment that the vehicle is about to travel on; The road segment division module is used to obtain the energy consumption road segment and the energy recovery road segment in the pre-driving road segment based on the road condition information; The calculation module is used to obtain the estimated energy demand values ​​for each of the energy consumption sections and each of the energy recovery sections, respectively. A power adjustment module is used to obtain the estimated total available power of the power battery when the vehicle enters the next road segment from the current road segment; the next road segment is one of the energy consumption road segment and the energy recovery road segment; the estimated total available power includes the sum of the energy recovered by the drive motor in each energy recovery road segment and each energy consumption road segment after the current road segment and the charging power of the fuel cell for charging the power battery; the module obtains the estimated output power of the fuel cell in the next road segment based on the estimated total available power and the estimated energy demand value; and adjusts the actual output power of the vehicle in the next road segment based on the estimated output power.

7. A vehicle controller, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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