Method for reducing use cost of vehicle, control device and vehicle

By obtaining the planned driving path and user needs of the vehicle, determining the target driving configuration and vehicle cost reduction plan, the problem that the existing technology is difficult to effectively control vehicle cost in a variety of vehicle use scenarios, and realizing vehicle cost reduction and charging cost optimization in more electric usage scenarios.

CN119840429APending Publication Date: 2025-04-18DEEPAL AUTOMOBILE TECH CO LTD
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Patent Information

Application Number
CN202510232732.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-28
Publication Date
2025-04-18

AI Technical Summary

Technical Problem

The prior art is difficult to effectively control the cost of using a vehicle in a variety of and complex practical vehicle use scenarios, and the reduced vehicle energy consumption mode is usually turned on when the power is low, making it difficult for users to effectively control the cost of using a vehicle in most practical vehicle use scenarios.

Method used

By obtaining the planned driving path, road conditions information of the vehicle and the driver's driving habits, determining user needs, and determining the target driving configuration and vehicle cost reduction plan according to preset rules, adjusting the vehicle's driving configuration and implementing a solution to reduce vehicle cost reduction. At the same time, when the vehicle needs to be charged, determine the charging needs and push the most economical charging solution to the user.

Benefits of technology

On the basis of meeting user needs, it can effectively reduce the cost of car use in more electric use scenarios, improve the efficiency of car use cost control, and push economical charging solutions to users to reduce car use costs.

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Abstract

The invention relates to a method for reducing the use cost of a vehicle, which comprises the following steps of: when the vehicle is in a driving state and a first preset mode is started, acquiring first preset information, and determining a user demand according to the first preset information; based on the user demand, determining a target driving configuration and a target vehicle cost reduction scheme matched with the user demand according to a first preset rule; requesting to adjust a driving configuration of the vehicle to a target driving configuration, and requesting to execute a target vehicle cost reduction scheme in the vehicle; when the vehicle needs to be charged and the first preset mode is started, second preset information is obtained, and the charging requirement of the vehicle is determined according to the second preset information; based on the charging demand, determining a target charging scheme which can meet the charging demand and has the lowest charging cost according to a second preset rule; and requesting to push the target charging scheme to the user. The invention further provides a control device and a vehicle. According to the invention, on the basis of meeting user requirements, the vehicle use cost can be reduced more effectively.
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Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and in particular to a method, a control device and a vehicle for reducing vehicle use costs. Background Art

[0002] The cost of using a vehicle is an important consideration for users when purchasing new energy vehicles, especially for those who use vehicles frequently, who are more sensitive to the cost of using a vehicle. Most existing technologies reduce the cost of using a vehicle by improving power generation efficiency and reducing vehicle energy consumption. Existing solutions for reducing the cost of using a vehicle usually have the following technical problems: In the prior art, several modes for reducing vehicle use costs are usually set. It is difficult for several modes for reducing vehicle energy consumption to cover various and complex actual vehicle use scenarios, resulting in users being unable to effectively control vehicle use costs in many actual vehicle use scenarios. Moreover, the vehicle energy consumption reduction mode is usually turned on when the vehicle battery is low, but it is not enabled in most actual vehicle scenarios of users, making it difficult for users to effectively control vehicle use costs in most actual vehicle use scenarios; Switching between modes to reduce car use costs usually depends on user operations, and it is difficult to flexibly respond to complex and changeable actual car use scenarios, resulting in a decrease in user car use experience and limiting the efficiency of car use cost control. Summary of the invention

[0003] The object of the present invention is to provide a method, a control device and a vehicle for reducing vehicle use costs, so as to alleviate or eliminate at least one of the above-mentioned technical problems.

[0004] A method for reducing vehicle use cost according to the present invention comprises the following steps: When the vehicle is in a driving state and the first preset mode is in an on state, first preset information is obtained, and user needs are determined according to the first preset information; based on the user needs, a target driving configuration and a target vehicle cost reduction plan that match the user needs are determined according to a first preset rule; a request is made to adjust the driving configuration of the vehicle to the target driving configuration, and to execute the target vehicle cost reduction plan in the vehicle; When the vehicle needs to be charged and the first preset mode is in the on state, second preset information is obtained, and the charging demand of the vehicle is determined according to the second preset information; based on the charging demand, one or more target charging schemes that can meet the charging demand and have the lowest charging cost are determined according to second preset rules; and one or more of the target charging schemes are requested to be pushed to the user.

[0005] Optionally, the obtaining of first preset information and determining the user demand according to the first preset information comprises the following steps: obtaining a planned driving route of the vehicle, road condition information of the planned driving route, and a driving habit of the driver, and determining the driving demand according to the planned driving route, the road condition information, and the driving habit; The method of determining a target driving configuration and a target vehicle cost reduction plan that match the user demand based on the user demand and according to a first preset rule includes the following steps: based on the driving demand, determining a target driving mode and / or a target energy recovery mode that match the driving demand and according to the first preset rule.

[0006] Optionally, the obtaining of the first preset information and determining the user demand according to the first preset information comprises the following steps: obtaining a planned driving path of the vehicle and a current remaining power of the vehicle, and based on the planned driving path and the current remaining power, calculating an energy consumption demand corresponding to the planned driving path according to historical energy consumption information of the vehicle; The method of determining a target driving configuration and a target vehicle cost reduction plan that matches the user demand based on the user demand and according to a first preset rule includes the following steps: based on the energy consumption demand, determining a target engine start-stop battery power threshold and / or a target engine power generation power that can meet the energy consumption demand and is the most economical according to the first preset rule.

[0007] Optionally, the obtaining of first preset information and determining user requirements according to the first preset information comprises the following steps: obtaining an ambient temperature, a battery temperature, a set temperature of a passenger compartment and a planned driving route of the vehicle, and determining a thermal management requirement according to the ambient temperature, the battery temperature, the set temperature of the passenger compartment and the planned driving route; The method of determining a target driving configuration and a target vehicle cost reduction plan that match the user needs based on the user needs and according to a first preset rule includes the following steps: based on the thermal management needs, determining a target thermal management plan that can meet the thermal management needs and is the most economical according to the first preset rule.

[0008] Optionally, the obtaining of first preset information and determining user needs according to the first preset information comprises the following steps: obtaining intelligent driving usage information and / or vehicle electrical appliance usage information of the vehicle, and determining intelligent driving usage needs and / or vehicle electrical appliance usage needs according to the intelligent driving usage information and / or the vehicle electrical appliance usage information; The method of determining a target driving configuration and a target vehicle cost reduction plan that matches the user needs based on the user needs and according to a first preset rule includes the following steps: based on the intelligent driving usage needs and / or the vehicle electrical appliance usage needs, determining a target intelligent driving management plan and / or a target vehicle electrical appliance management plan that can meet the intelligent driving usage needs and / or the vehicle electrical appliance usage needs and is the most economical according to the first preset rule.

[0009] Optionally, based on the charging demand, determining one or more target charging schemes that can meet the charging demand and have the lowest charging cost according to a second preset rule includes the following steps: based on the charging demand, determining one or more target charging points that can meet the charging demand and have the lowest charging cost according to the second preset rule.

[0010] Optionally, the method for reducing vehicle usage costs also includes the following steps: obtaining a target charging point selected by a user, calculating the most economical target charging method and target charging time period based on the charging method of the target charging point selected by the user and the charging costs for each time period, and requesting that the target charging method and the target charging time period be pushed to the user.

[0011] Optionally, the method for reducing vehicle use cost further includes the following steps: When the vehicle is in a driving state, in response to receiving a user's request to start the first preset mode, starting the first preset mode; When it is determined that the vehicle needs to be charged, starting the first preset mode; When the user demand changes, the target driving configuration and / or the target vehicle cost reduction plan is updated; a request is made to switch the driving configuration of the vehicle to the updated target driving configuration, and / or a request is made to execute the updated target vehicle cost reduction plan in the vehicle.

[0012] The present invention further proposes a control device, comprising a processor and a memory coupled to each other, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the control device executes any one of the methods described above.

[0013] The present invention also provides a vehicle, comprising the above-mentioned control device.

[0014] The present invention can more effectively reduce the cost of using a vehicle on the basis of meeting the needs of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a flow chart of a method for reducing vehicle use cost described in some embodiments; Figure 2 A flowchart of a method for reducing vehicle use costs described in a specific example of an electricity use scenario; Figure 3 Schematic diagram of the control device described in some examples.

[0016] In the figure, 10 is a control device, 20 is a processor, and 30 is a memory. DETAILED DESCRIPTION

[0017] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0018] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0019] like Figure 1 A method for reducing vehicle use cost is shown, comprising the following steps: S100: when the vehicle is in a driving state and the first preset mode is in an on state, obtaining first preset information, determining user needs according to the first preset information; based on the user needs, determining a target driving configuration and a target vehicle cost reduction plan that match the user needs according to a first preset rule; requesting to adjust the driving configuration of the vehicle to the target driving configuration, and requesting to execute the target vehicle cost reduction plan in the vehicle; S200: When the vehicle needs to be charged and the first preset mode is in the on state, obtain the second preset information, and determine the charging demand of the vehicle according to the second preset information; based on the charging demand, determine one or more target charging plans that can meet the charging demand and have the lowest charging cost according to the second preset rules; request to push one or more target charging plans to the user.

[0020] By adopting the above technical solution, the vehicle electricity usage scenario can effectively reduce the vehicle cost on the basis of meeting the user's needs. Moreover, by ensuring that the user's needs are met, the target vehicle cost reduction solution can be implemented in more electricity usage scenarios, and the user can effectively control the vehicle cost in more actual vehicle usage scenarios. In the vehicle charging scenario, the economic charging solution can be pushed to the user, which helps to reduce the vehicle cost and effectively control the vehicle cost in more vehicle usage scenarios.

[0021] In some embodiments, obtaining the first preset information, and determining the user demand according to the first preset information comprises the following steps: obtaining the planned driving route of the vehicle, the road condition information of the planned driving route, and the driving habits of the driver, and determining the driving demand according to the planned driving route, the road condition information, and the driving habits; Based on user needs, determining a target driving configuration and a target vehicle cost reduction plan that match the user needs according to a first preset rule includes the following steps: based on driving needs, determining a target driving mode and a target energy recovery mode that match the driving needs according to a first preset rule.

[0022] By adopting the above technical solution, the driving needs are first determined, and then the matching target driving mode and target energy recovery mode are determined according to the driving needs, which can better meet the user's driving needs.

[0023] In specific implementation, the acquired planned driving route, road condition information and driving habits can be used as driving requirements, and the vehicle's VCU controller matches the target driving mode and target energy recovery mode that best meet the driving requirements based on the acquired planned driving route, road condition information and driving habits according to the driving requirement rule data pre-stored in the database. In specific implementation, the driving requirement rule data can be a pre-trained machine learning model or a pre-defined mapping relationship table.

[0024] The vehicle's VCU controller sends the corresponding request instructions to the corresponding on-board controller, which can adjust the vehicle's driving mode and energy recovery mode to the target driving mode and target energy recovery mode, that is, realize the switching of the driving mode and energy recovery mode, so that the vehicle's driving mode and energy recovery mode match the user's driving needs.

[0025] That is to say, in the specific implementation, the first preset information includes the planned driving route of the vehicle, the road condition information of the planned driving route and the driver's driving habits, the driving configuration includes the driving mode and the energy recovery mode, and the target driving configuration includes the target driving mode and the target energy recovery mode.

[0026] In some embodiments, obtaining the first preset information and determining the user demand according to the first preset information comprises the following steps: obtaining a planned driving route of the vehicle and the current remaining power of the vehicle, and based on the planned driving route and the current remaining power, calculating the energy consumption demand corresponding to the planned driving route according to the historical energy consumption information of the vehicle; Based on user needs, determining a target driving configuration and a target vehicle cost reduction plan that matches the user needs according to a first preset rule includes the following steps: based on energy consumption needs, determining a target engine start-stop battery power threshold and a target engine power generation power that can meet the energy consumption needs and are most economical according to the first preset rule.

[0027] By adopting the above technical solution, by adjusting the battery power threshold for engine start-stop and the power generated by the engine, the vehicle can use the power of the power battery as much as possible, which can achieve more electricity and less oil consumption, and help reduce vehicle use costs. Increasing the battery power threshold for engine start-stop and reducing the power generated by the engine can both help the vehicle achieve more electricity and less oil consumption.

[0028] In specific implementation, the vehicle's VCU controller calculates the energy consumption demand based on the vehicle's planned driving route, the vehicle's current remaining power and the vehicle's historical energy consumption information. The vehicle's VCU controller matches the target engine start-stop battery power threshold and target engine power generation power that meet the energy consumption demand and are most economical based on the energy consumption demand rule data pre-stored in the database. The energy consumption demand rule data can be a pre-trained machine learning model or a predefined mapping relationship table.

[0029] The vehicle's VCU controller sends the corresponding request instructions to the corresponding on-board controller, which can adjust the engine start-stop battery power threshold and engine power generation power, thereby achieving more electricity and less oil consumption.

[0030] That is to say, in the specific implementation, the first preset information includes the planned driving route of the vehicle and the current remaining power of the vehicle, and the vehicle cost reduction plan includes adjusting the engine start-stop battery power threshold and adjusting the engine power generation power.

[0031] In some embodiments, obtaining first preset information, and determining user requirements according to the first preset information includes the following steps: obtaining an ambient temperature, a battery temperature, a set temperature of the passenger compartment, and a planned driving route of the vehicle, and determining thermal management requirements according to the ambient temperature, the battery temperature, the set temperature of the passenger compartment, and the planned driving route; Based on user needs, determining a target driving configuration and a target vehicle cost reduction plan that matches the user needs according to a first preset rule includes the following steps: based on thermal management needs, determining a target thermal management plan that can meet the thermal management needs and is the most economical according to the first preset rule.

[0032] By adopting the above technical solution and adjusting the target thermal management solution, the energy consumption of the vehicle can be reduced, which helps to reduce the cost of using the vehicle.

[0033] In the specific implementation, the vehicle's VCU controller matches the target battery temperature range and the target passenger compartment temperature range based on the vehicle's ambient temperature, battery temperature, passenger compartment set temperature and planned driving route according to the thermal management requirement rule data pre-stored in the database. The target battery temperature range and the target passenger compartment temperature range are the thermal management requirements, which can be a pre-trained machine learning model or a predefined mapping relationship table.

[0034] Furthermore, the vehicle's VCU controller can match a reasonable allocation of thermal management power based on thermal management requirements and thermal management rule data pre-stored in the database. The thermal management rule data can be a pre-trained machine learning model or a pre-defined mapping relationship table. The use of a reasonable allocation of thermal management power can ensure the comfort of the passenger compartment and battery cooling or heating, ensure that the battery is used within the optimal temperature range, and help reduce energy consumption.

[0035] The vehicle's VCU controller sends the corresponding request instructions to the corresponding on-board controller, which can achieve reasonable allocation of thermal management power.

[0036] That is to say, in the specific implementation, the first preset information includes the vehicle's ambient temperature, battery temperature, passenger compartment set temperature and planned driving route, and the vehicle cost reduction plan includes the reasonable allocation of thermal management power.

[0037] In some embodiments, obtaining first preset information, and determining user needs according to the first preset information includes the following steps: obtaining intelligent driving usage information and vehicle-mounted electrical appliance usage information of the vehicle, and determining intelligent driving usage needs and vehicle-mounted electrical appliance usage needs according to the intelligent driving usage information and the vehicle-mounted electrical appliance usage information; Based on user needs, determining a target driving configuration and a target vehicle cost reduction plan that match the user needs according to a first preset rule includes the following steps: Based on the intelligent driving usage needs and the vehicle electrical appliance usage needs, determining a target intelligent driving management plan and a target vehicle electrical appliance management plan that can meet the intelligent driving usage needs and the vehicle electrical appliance usage needs and are the most economical according to the first preset rule.

[0038] By adopting the above-mentioned technical solutions and managing the energy consumption of intelligent driving and vehicle electrical appliances, it is possible to reduce unnecessary energy output, reduce energy consumption, ensure that the vehicle uses less electricity to travel the same distance, and help reduce vehicle use costs.

[0039] In specific implementation, the probability of using smart driving and the probability of using onboard electrical appliances can be analyzed by analyzing the use information of smart driving and the use information of onboard electrical appliances, and the probability can represent the use demand of smart driving and the use demand of onboard electrical appliances. In specific implementation, a pre-trained machine learning model can be used to analyze the probability of using smart driving and the probability of using onboard electrical appliances.

[0040] After analyzing the probability of using smart driving and the probability of using vehicle electrical appliances, the target smart driving management scheme and target vehicle electrical appliance management scheme of the corresponding level can be determined according to the size level of the probability. For example, when the probability of using smart driving is less than the preset first probability threshold, the vehicle's VCU controller can control the shutdown of the vehicle's smart driving function. For another example, when the probability of using vehicle electrical appliances is less than the second probability threshold, the vehicle's VCU controller can control the reduction of the power consumption of some vehicle electrical appliances. When the probability of using vehicle electrical appliances is less than the third probability threshold, the vehicle's VCU controller can control the shutdown of some vehicle electrical appliances. The vehicle's VCU controller sends the corresponding request instruction to the corresponding controller to perform the above operations.

[0041] While executing the target intelligent driving management plan and the target vehicle electrical appliance management plan, the user can be reminded, for example, by notifying the user through text or voice that the intelligent driving function has been turned off.

[0042] That is to say, in the specific implementation, the first preset information includes the vehicle's intelligent driving usage information and on-board electrical appliance usage information, and the vehicle cost reduction plan includes a target adjustment intelligent driving usage plan and a target on-board electrical appliance usage plan.

[0043] In specific implementation, the intelligent driving usage information may include the activation frequency and usage duration of the autonomous driving function. The vehicle electrical appliance usage information may include the activation frequency and usage duration of the vehicle electrical appliances, such as the activation frequency and usage duration of the DC-DC converter.

[0044] like Figure 2 As shown, as a specific example, in an electricity usage scenario, a method for reducing vehicle use costs includes the following steps: S101: When the vehicle is in a driving state and the first preset mode is in an on state, first preset information is obtained.

[0045] S102: Determine driving demand based on the planned driving route of the vehicle in the first preset information, the road condition information of the planned driving route and the driving habits of the driver; based on the driving demand, determine a target driving mode and a target energy recovery mode that match the driving demand according to the first preset rule; request to adjust the driving mode and the energy recovery mode of the vehicle to the target driving mode and the target energy recovery mode.

[0046] S103: Based on the planned driving route of the vehicle in the first preset information and the current remaining power of the vehicle, calculate the energy consumption demand corresponding to the planned driving route according to the historical energy consumption information of the vehicle; based on the energy consumption demand, determine the most economical target engine start-stop battery power threshold and target engine power generation power that can meet the energy consumption demand according to the first preset rule; request to execute the target engine start-stop battery power threshold and target engine power generation power in the vehicle.

[0047] S104: Determine the thermal management requirements based on the vehicle's ambient temperature, battery temperature, passenger compartment set temperature and planned driving route in the first preset information; based on the thermal management requirements, determine the most economical target thermal management solution that can meet the thermal management requirements according to the first preset rules; and request execution of the target thermal management solution in the vehicle.

[0048] S105: Based on the intelligent driving usage information and the vehicle electrical appliance usage information in the first preset information, determine the intelligent driving usage requirements and the vehicle electrical appliance usage requirements; based on the intelligent driving usage requirements and the vehicle electrical appliance usage requirements, determine the most economical target intelligent driving management plan and target vehicle electrical appliance management plan that can meet the intelligent driving usage requirements and the vehicle electrical appliance usage requirements according to the first preset rules; request to execute the target intelligent driving management plan and the target vehicle electrical appliance management plan in the vehicle.

[0049] By adopting the above technical solution, in the electricity usage scenario, by adjusting the driving configuration and executing the target vehicle cost reduction plan, it is possible to more effectively reduce the vehicle cost in more actual vehicle usage scenarios while meeting user needs.

[0050] In some embodiments, based on the charging demand, determining one or more target charging schemes that can meet the charging demand and have the lowest charging cost according to a second preset rule includes the following steps: based on the charging demand, determining one or more target charging points that can meet the charging demand and have the lowest charging cost according to a second preset rule.

[0051] In specific implementation, the vehicle's VCU controller can estimate the vehicle's pure electric driving distance based on the vehicle's positioning and the remaining battery power, and push the location of the charging station within the coverage range of the pure electric driving distance to the user, which can remind the user to charge immediately and help achieve more electricity and less oil consumption.

[0052] In some embodiments, the method for reducing vehicle usage costs also includes the following steps: obtaining a target charging point selected by a user, calculating the most economical target charging method and target charging time period based on the charging method of the target charging point selected by the user and the charging costs for each time period, and requesting that the target charging method and target charging time period be pushed to the user.

[0053] In specific implementation, after the user selects the location of the charging station, the vehicle's VCU controller can calculate the optimal charging method and time period based on the charging method and charging time period costs, and send them to the corresponding controller based on charging time, cost, energy consumption conditions, etc., and push them to the user for selection. The user chooses the charging method and time period according to their own needs, which helps reduce charging costs and ensures that users charge the same amount of electricity with the least money.

[0054] More specifically, in the actual implementation, the vehicle's VCU controller can score the charging piles according to the preset scoring rules based on the distance, charging method, charging cost and other information of the charging piles. The vehicle's VCU controller compares the weighted scores of each charging pile, screens out the most economical charging pile location, and sends it to the corresponding controller, which is then pushed to the user.

[0055] In some embodiments, the method for reducing vehicle use costs further includes the following steps: when the vehicle is in a driving state, in response to receiving a user's request to start the first preset mode, start the first preset mode. In the power usage scenario, the first preset mode is started under the control of the user, which can meet the user's different driving experience requirements.

[0056] In some embodiments, the method for reducing vehicle use costs further includes the following steps: when it is determined that the vehicle needs to be charged, the first preset mode is turned on. In the charging scenario, the VCU controller of the vehicle automatically turns on the first preset mode, which can remind the user to charge more promptly.

[0057] In a specific implementation, the current remaining power of the vehicle may be compared with a preset power threshold. When the current remaining power of the vehicle is less than the preset power threshold, it may be determined that the vehicle needs to be charged.

[0058] In some embodiments, the method for reducing vehicle use costs further includes the following steps: When user needs change, the target driving configuration and target vehicle cost reduction plan are updated; a request is made to switch the vehicle's driving configuration to the updated target driving configuration, and a request is made to execute the updated target vehicle cost reduction plan in the vehicle. Adjusting relevant parameters in real time according to changes in user needs can better meet changes in user needs and vehicle usage scenarios.

[0059] like Figure 3 As shown, the present invention also proposes a control device 10, which includes a processor 20 and a memory 30 coupled to each other, wherein the memory 30 stores a computer program, and when the computer program is executed by the processor 20, the control device 10 executes any of the above methods. The control device 10 may be a vehicle-mounted controller, such as a VCU controller of a vehicle.

[0060] The present invention also provides a vehicle, comprising the above-mentioned control device 10.

[0061] The above embodiments are only preferred embodiments for fully illustrating the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or changes made by those skilled in the art on the basis of the present invention are all within the protection scope of the present invention. In the description of this specification, the description of reference terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics of the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine the different embodiments or examples described in this specification.

Claims

1. A method for reducing vehicle use costs, characterized in that: The following steps are involved: When the vehicle is in a driving state and the first preset mode is in an on state, obtaining first preset information, and determining the user demand according to the first preset information; Based on the user demand, determine a target driving configuration and a target vehicle cost reduction plan that match the user demand according to a first preset rule; request to adjust the driving configuration of the vehicle to the target driving configuration, and request to execute the target vehicle cost reduction plan in the vehicle; When the vehicle needs to be charged and the first preset mode is in an on state, obtaining second preset information, and determining the charging requirement of the vehicle according to the second preset information; Based on the charging demand, determining one or more target charging solutions that can meet the charging demand and have the lowest charging cost according to a second preset rule; Request to push one or more of the target charging solutions to the user.

2. The method for reducing vehicle use cost according to claim 1, characterized in that: The obtaining of the first preset information and determining the user demand according to the first preset information comprises the following steps: obtaining the planned driving path of the vehicle, the road condition information of the planned driving path and the driving habits of the driver, and determining the driving demand according to the planned driving path, the road condition information and the driving habits; The method of determining a target driving configuration and a target vehicle cost reduction plan that match the user demand based on the user demand and according to a first preset rule includes the following steps: based on the driving demand, determining a target driving mode and / or a target energy recovery mode that match the driving demand and according to the first preset rule.

3. The method for reducing vehicle use cost according to claim 1, characterized in that: The obtaining of the first preset information and determining the user demand according to the first preset information comprises the following steps: obtaining the planned driving path of the vehicle and the current remaining power of the vehicle, and based on the planned driving path and the current remaining power, calculating the energy consumption demand corresponding to the planned driving path according to the historical energy consumption information of the vehicle; The method of determining a target driving configuration and a target vehicle cost reduction plan that matches the user demand based on the user demand and according to a first preset rule includes the following steps: based on the energy consumption demand, determining a target engine start-stop battery power threshold and / or a target engine power generation power that can meet the energy consumption demand and is the most economical according to the first preset rule.

4. The method for reducing vehicle use cost according to claim 1, characterized in that: The obtaining of the first preset information and determining the user demand according to the first preset information comprises the following steps: obtaining the ambient temperature, battery temperature, passenger compartment set temperature and planned driving route of the vehicle, and determining the thermal management demand according to the ambient temperature, battery temperature, passenger compartment set temperature and planned driving route; The method of determining a target driving configuration and a target vehicle cost reduction plan that match the user needs based on the user needs and according to a first preset rule includes the following steps: based on the thermal management needs, determining a target thermal management plan that can meet the thermal management needs and is the most economical according to the first preset rule.

5. The method for reducing vehicle use cost according to claim 1, characterized in that: The obtaining of the first preset information and determining the user demand according to the first preset information comprises the following steps: obtaining the intelligent driving usage information and / or the vehicle electrical appliance usage information of the vehicle, and determining the intelligent driving usage demand and / or the vehicle electrical appliance usage demand according to the intelligent driving usage information and / or the vehicle electrical appliance usage information; The method of determining a target driving configuration and a target vehicle cost reduction plan that matches the user needs based on the user needs according to a first preset rule includes the following steps: based on the intelligent driving usage needs and / or the vehicle electrical appliance usage needs, determining a target intelligent driving management plan and / or a target vehicle electrical appliance management plan that can meet the intelligent driving usage needs and / or the vehicle electrical appliance usage needs and is the most economical according to the first preset rule.

6. The method for reducing vehicle use cost according to claim 1, characterized in that: The method of determining, based on the charging demand, one or more target charging schemes that can meet the charging demand and have the lowest charging cost according to a second preset rule includes the following steps: based on the charging demand, determining, according to the second preset rule, one or more target charging points that can meet the charging demand and have the lowest charging cost.

7. The method for reducing vehicle use cost according to claim 6, characterized in that: The method also includes the following steps: obtaining a target charging point selected by a user, calculating the most economical target charging method and target charging time period based on the charging method of the target charging point selected by the user and the charging costs in each time period, and requesting that the target charging method and the target charging time period be pushed to the user.

8. The method for reducing vehicle use cost according to claim 1, characterized in that: The following steps are also included: When the vehicle is in a driving state, in response to receiving a user's request to start the first preset mode, starting the first preset mode; When it is determined that the vehicle needs to be charged, starting the first preset mode; When the user demand changes, updating the target driving configuration and / or the target vehicle cost reduction plan; A request is made to switch the driving configuration of the vehicle to the updated target driving configuration, and / or a request is made to execute the updated target vehicle cost reduction scheme in the vehicle.

9. A control device (10), characterized in that: The control device (10) comprises a processor (20) and a memory (30) coupled to each other, wherein a computer program is stored in the memory (30), and when the computer program is executed by the processor (20), the control device (10) executes the method according to any one of claims 1 to 8.

10. A vehicle, characterized in that: Comprising the control device (10) as claimed in claim 9.

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