Electric vehicle energy consumption prediction method and system based on road information and air conditioner thermal management

Abstract

This invention provides a method and system for predicting the energy consumption of electric vehicles based on road information and air conditioning thermal management. It includes: Step S1: acquiring parameters of the electric vehicle; Step S2: calculating the total electric drive energy consumption based on the acquired parameters; Step S3: calculating the compressor energy consumption and the total energy consumption of the thermal management system based on the acquired parameters; Step S4: predicting the total energy consumption required to reach the destination based on the acquired parameters, the calculated total electric drive energy consumption, and the total energy consumption of the thermal management system, and recommending energy-saving solutions to the user. This invention uses the cooling (heating) energy efficiency ratio (COP) of the air conditioning system to estimate the actual energy consumption of the compressor, replacing the thermal management model simulation calculation, thereby achieving a relatively accurate estimation of the energy consumption of the vehicle's air conditioning thermal management system using only sensor parameters.

Description

Technical Field

[0001] This invention relates to the field of new energy vehicle technology, specifically to a method and system for predicting the energy consumption of electric vehicles based on road information and air conditioning thermal management. Background Technology

[0002] As the number of electric vehicles increases, people are paying more and more attention to their energy consumption.

[0003] Currently, a Chinese patent (application number 201910383050.5) discloses a method for predicting the energy consumption of pure electric vehicles based on road information and driving style. This method utilizes onboard sensors, geographic information software, electronic maps, and weather forecasting systems to acquire vehicle state parameters, road information parameters, and environmental information parameters. Based on the acquired parameters, rolling resistance coefficient, air density, and road slope parameters are estimated. Furthermore, a driving condition prediction model optimized based on road information and driving style is established to predict driving conditions, ensuring that the predicted energy consumption accurately approximates the actual energy consumption. The method involves establishing a pure electric vehicle energy consumption prediction model: based on pure electric vehicle performance tests, a pure electric vehicle energy consumption calculation model is established. The parameter estimation results and driving condition prediction results are used as inputs to form the pure electric vehicle energy consumption prediction model. The model outputs predicted energy consumption, predicting energy consumption for future path information.

[0004] While the invention can predict energy consumption based on future path information, it does not take into account the energy consumption of the air conditioning thermal management system in pure electric vehicles.

[0005] Patent document CN110222906A (application number: CN201910521895.6) discloses a method for predicting the energy consumption of electric vehicles, a computer-readable storage medium, and an electronic device. The method includes the following steps: acquiring multiple sets of historical trajectory data based on historical travel data of the electric vehicle; obtaining independent variable feature values ​​corresponding to each location coordinate in each historical trajectory data set; obtaining energy consumption values ​​corresponding to the historical trajectory based on the energy consumption values ​​corresponding to each location coordinate data set, using these as dependent variable feature values; and inputting the independent and dependent variable feature values ​​into a preset machine learning model to train the machine learning model, thereby obtaining an energy prediction model for predicting the energy consumption of electric vehicles. However, this invention also does not consider the energy consumption of the air conditioning thermal management system of pure electric vehicles. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the purpose of this invention is to provide a method and system for predicting the energy consumption of electric vehicles based on road information and air conditioning thermal management.

[0007] A method for predicting electric vehicle energy consumption based on road information and air conditioning thermal management, provided by the present invention, includes:

[0008] Step S1: Obtain the parameters of the electric vehicle;

[0009] Step S2: Calculate the total electric drive energy consumption based on the acquired parameters;

[0010] Step S3: Calculate the compressor energy consumption based on the acquired parameters, and calculate the total energy consumption of the thermal management system;

[0011] Step S4: Based on the acquired parameters and the calculated total electric drive energy consumption and total energy consumption of the thermal management system, predict the total energy consumption required to reach the destination and recommend energy-saving solutions to the user.

[0012] Preferably, in step S1:

[0013] To obtain the basic vehicle parameters of the electric vehicle, parameters are collected from GPS, navigation software, weather forecast software, and onboard air conditioning sensors. The specific parameters required are as follows:

[0014] Step S1.1: Obtain the vehicle parameters of the electric vehicle, including: the current remaining battery charge, vehicle weight, frontal area, drag coefficient, rolling resistance coefficient, motor power characteristic curve, downhill energy recovery ratio, braking energy recovery ratio, and power parameters of the vehicle's electrical appliances.

[0015] Step S1.2: Obtain current environmental parameters, including: current weather conditions, ambient temperature, atmospheric pressure, and air density;

[0016] Step S1.3: Obtain navigation route planning and driving condition parameters from GPS and navigation software, including: vehicle departure and destination location information, initial departure time, navigation route planning information and road condition information;

[0017] Step S1.4: Obtain vehicle air conditioning thermal management system parameters, including: evaporator inlet temperature, evaporator outlet temperature, evaporator air flow rate and specific heat capacity, isentropic efficiency and mechanical efficiency of air conditioning compressor motor.

[0018] Preferably, in step S2:

[0019] The average speed within the current sub-segment is v p The change in average velocity per unit time is calculated as the average acceleration a within the segment. p The power consumption of sub-segment i is calculated as follows:

[0020]

[0021] Where, η tρ is the electric drive efficiency, α is the product of motor efficiency and controller efficiency; m is the vehicle mass; ρ is the air density; C is the drag coefficient; A is the vehicle's frontal area; k is the gradient of this sub-segment; α is the energy recovery ratio during downhill driving; β is the energy recovery ratio during braking; P all,i P represents the total electric drive power consumption of the sub-section. roll To overcome rolling resistance, electric drive power, P aero To overcome aerodynamic drag, electric drive power, P slope To overcome the slope resistance, the electric drive power, P inertia To overcome inertial resistance, the electric drive power is used, where g is the acceleration due to gravity and f is the rolling resistance coefficient;

[0022] Based on the power consumption of the electric drive in the sub-segment calculated according to formula (1), the energy consumption of the electric drive per unit mileage in the current sub-segment is calculated as follows:

[0023]

[0024] The total electric drive energy consumption for the planned route is calculated as follows:

[0025]

[0026] Where N is the total number of sub-segments; E i S is the electric drive energy consumption per unit mileage within the sub-segment calculated in equation (2); i This refers to the length of the sub-section of the road.

[0027] Preferably, in step S3:

[0028] Based on the cooling or heating energy efficiency ratio of the air conditioning system, the compressor energy consumption is calculated under the cooling and heating conditions of the vehicle air conditioning system, and the compressor energy consumption is equal to the total energy consumption of the vehicle thermal management system during vehicle operation.

[0029] COP of air conditioning system cooling,ideal for:

[0030]

[0031] Among them, W cmp,cool,ideal Q represents the energy consumption of an air conditioning compressor under ideal conditions. c The heat absorbed by the evaporator from the cabin air, and the heat released by the condenser to the ambient air, is the sum of the energy consumption of the refrigeration and air conditioning compressor and the heat absorbed by the evaporator from the cabin air. The COP (Coefficient of Performance) is calculated as follows: cooling,ideal Transform into:

[0032]

[0033] Among them, Q H Q represents the heat released by the condenser into the cabin air.C T represents the heat absorbed by the evaporator from the cabin air. C To achieve the low refrigerant phase change temperature, it is determined by the evaporator air outlet temperature T. EOAT Subtract temperature correction ΔT C Calculate; T H The high refrigerant phase change temperature is determined by the condenser air-side temperature T. ENV Add temperature correction ΔT H Calculate T EOAT and T ENV According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time:

[0034]

[0035] The heat Q absorbed by the evaporator from the cabin air C The evaporator inlet temperature T EIAT and evaporator outlet temperature T EOAT The calculations yielded the following results:

[0036]

[0037] in, For air mass flow rate, C p,air The specific heat capacity of air;

[0038] Ideal air conditioner refrigeration compressor energy consumption (W) cmp,cool,ideal for:

[0039]

[0040] Actual air conditioning compressor energy consumption (W) cmp,cool,actual for:

[0041]

[0042] Wherein, the isentropic efficiency η s η is obtained by looking up a table. m For mechanical efficiency; the actual energy consumption of the air conditioning refrigeration compressor is calculated as follows:

[0043]

[0044] Air conditioning heating efficiency ratio (COP) heating,ideal for:

[0045]

[0046] Among them, T H The high refrigerant phase change temperature is determined by the condenser air-side outlet temperature T. IOAT Add temperature correction ΔT H Calculate; T CThe low refrigerant phase change temperature is determined by the evaporator air-side outlet temperature T. WNV Subtract temperature correction ΔT C Calculate; T IOAT and T ENV According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time:

[0047]

[0048] The heat Q released by the condenser into the cabin air H From the condenser inlet temperature T IIAT and evaporator outlet temperature T IOAT The calculations yielded the following results:

[0049]

[0050] Ideal heat pump heating compressor energy consumption (W) cmp,heat,ideal for:

[0051]

[0052] Actual heat pump heating compressor energy consumption (W) cmp,heat,actual for:

[0053]

[0054] Wherein, the isentropic efficiency η s Obtained by looking up a table; η m For mechanical efficiency, the actual energy consumption of the heat pump heating compressor is calculated as follows:

[0055]

[0056] Preferably, in step S4:

[0057] Based on the acquired vehicle electrical power parameters P device And calculate the energy consumption (W) of the vehicle's electronic and electrical systems for the entire journey, based on the estimated travel time (T). device Based on the vehicle's total electric drive energy consumption W ed And the actual energy consumption (W) of the vehicle's air conditioning thermal management system. cmp,actual The total energy consumption W required to reach the destination is calculated as follows:

[0058] W = W ed +W cmp,actual +W device (17)

[0059] Among them, the actual energy consumption (W) of the thermal management system during vehicle air conditioning cooling is... cmp,actual The actual air conditioning refrigeration compressor energy consumption W calculated by equation (10) cmp,cool,actualWhen the vehicle's air conditioning is in heating mode, the actual energy consumption (W) of the thermal management system is... cmp,actual The actual heat pump heating compressor energy consumption W calculated by equation (16) cmp,heat,actual ;

[0060] Based on the current remaining battery power, if the total energy consumption W required to reach the destination is greater than the current remaining battery power, the system calculates the corresponding energy-saving or charging solutions and recommends them to the user.

[0061] An electric vehicle energy consumption prediction system based on road information and air conditioning thermal management, provided by the present invention, includes:

[0062] Module M1: Obtains parameters of the electric vehicle;

[0063] Module M2: Calculates total electric drive energy consumption based on acquired parameters;

[0064] Module M3: Calculates compressor energy consumption and total energy consumption of the thermal management system based on acquired parameters;

[0065] Module M4: Based on the acquired parameters and the calculated total electric drive energy consumption and total energy consumption of the thermal management system, it predicts the total energy consumption required to reach the destination and recommends energy-saving solutions to the user.

[0066] Preferably, in module M1:

[0067] To obtain the basic vehicle parameters of the electric vehicle, parameters are collected from GPS, navigation software, weather forecast software, and onboard air conditioning sensors. The specific parameters required are as follows:

[0068] Module M1.1: Obtains the vehicle parameters of the electric vehicle, including: the current remaining battery power, vehicle weight, frontal area, drag coefficient, rolling resistance coefficient, motor power characteristic curve, downhill energy recovery ratio, braking energy recovery ratio, and power parameters of the vehicle's electrical appliances.

[0069] Module M1.2: Obtains current environmental parameters, including: current weather conditions, ambient temperature, atmospheric pressure, and air density;

[0070] Module M1.3: Obtains navigation route planning and driving traffic parameters from GPS and navigation software, including: vehicle departure and destination location information, initial departure time, navigation route planning information and traffic information;

[0071] Module M1.4: Obtains parameters of the vehicle air conditioning thermal management system, including: evaporator inlet temperature, evaporator outlet temperature, evaporator air flow rate and specific heat capacity, isentropic efficiency and mechanical efficiency of the air conditioning compressor motor.

[0072] Preferably, in module M2:

[0073] The average speed within the current sub-segment is v p The change in average velocity per unit time is calculated as the average acceleration a within the segment. p The power consumption of sub-segment i is calculated as follows:

[0074]

[0075] Where, η t ρ is the electric drive efficiency, α is the product of motor efficiency and controller efficiency; m is the vehicle mass; ρ is the air density; C is the drag coefficient; A is the vehicle's frontal area; k is the gradient of this sub-segment; α is the energy recovery ratio during downhill driving; β is the energy recovery ratio during braking; P all,i P represents the total electric drive power consumption of the sub-section. roll To overcome rolling resistance, electric drive power, P aero To overcome aerodynamic drag, electric drive power, P slope To overcome the slope resistance, the electric drive power, P inertia To overcome inertial resistance, the electric drive power is used, where g is the acceleration due to gravity and f is the rolling resistance coefficient;

[0076] Based on the power consumption of the electric drive in the sub-segment calculated according to formula (1), the energy consumption of the electric drive per unit mileage in the current sub-segment is calculated as follows:

[0077]

[0078] The total electric drive energy consumption for the planned route is calculated as follows:

[0079]

[0080] Where N is the total number of sub-segments; E i S is the electric drive energy consumption per unit mileage within the sub-segment calculated in equation (2); i This refers to the length of the sub-section of the road.

[0081] Preferably, in module M3:

[0082] Based on the cooling or heating energy efficiency ratio of the air conditioning system, the compressor energy consumption is calculated under the cooling and heating conditions of the vehicle air conditioning system, and the compressor energy consumption is equal to the total energy consumption of the vehicle thermal management system during vehicle operation.

[0083] COP of air conditioning system cooling,ideal for:

[0084]

[0085] Among them, W cmp,cool,ideal Q represents the energy consumption of an air conditioning compressor under ideal conditions.c The heat absorbed by the evaporator from the cabin air, and the heat released by the condenser to the ambient air, is the sum of the energy consumption of the refrigeration and air conditioning compressor and the heat absorbed by the evaporator from the cabin air. The COP (Coefficient of Performance) is calculated as follows: cooling,ideal Transform into:

[0086]

[0087] Among them, Q H Q represents the heat released by the condenser into the cabin air. C T represents the heat absorbed by the evaporator from the cabin air. C To achieve the low refrigerant phase change temperature, it is determined by the evaporator air outlet temperature T. EOAT Subtract temperature correction ΔT C Calculate; T H The high refrigerant phase change temperature is determined by the condenser air-side temperature T. ENV Add temperature correction ΔT H Calculate T EOAT and T ENV According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time:

[0088]

[0089] The heat Q absorbed by the evaporator from the cabin air C The evaporator inlet temperature T EIAT and evaporator outlet temperature T EOAT The calculations yielded the following results:

[0090]

[0091] in, For air mass flow rate, C p,air The specific heat capacity of air;

[0092] Ideal air conditioner refrigeration compressor energy consumption (W) cmp,cool,ideal for:

[0093]

[0094] Actual air conditioning compressor energy consumption (W) cmp,cool,actual for:

[0095]

[0096] Wherein, the isentropic efficiency η s η is obtained by looking up a table. m For mechanical efficiency; the actual energy consumption of the air conditioning refrigeration compressor is calculated as follows:

[0097]

[0098] Air conditioning heating efficiency ratio (COP) heating,ideal for:

[0099]

[0100] Among them, T H The high refrigerant phase change temperature is determined by the condenser air-side outlet temperature T. IOAT Add temperature correction ΔT H Calculate; T C The low refrigerant phase change temperature is determined by the evaporator air-side outlet temperature T. ENV Subtract temperature correction ΔT C Calculate; T IOAT and T ENV According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time:

[0101]

[0102] The heat Q released by the condenser into the cabin air H From the condenser inlet temperature T IIAT and evaporator outlet temperature T IOAT The calculations yielded the following results:

[0103]

[0104] Ideal heat pump heating compressor energy consumption (W) cmp,heat,ideal for:

[0105]

[0106] Actual heat pump heating compressor energy consumption (W) cmp,heat,actual for:

[0107]

[0108] Wherein, the isentropic efficiency η s Obtained by looking up a table; η m For mechanical efficiency, the actual energy consumption of the heat pump heating compressor is calculated as follows:

[0109]

[0110] Preferably, in module M4:

[0111] Based on the acquired vehicle electrical power parameters P device And calculate the energy consumption (W) of the vehicle's electronic and electrical systems for the entire journey, based on the estimated travel time (T). device Based on the vehicle's total electric drive energy consumption W ed And the actual energy consumption (W) of the vehicle's air conditioning thermal management system. cmp,actualThe total energy consumption W required to reach the destination is calculated as follows:

[0112] W = W ed +W cmp,actual +W device (17)

[0113] Among them, the actual energy consumption (W) of the thermal management system during vehicle air conditioning cooling is... cmp,actual The actual air conditioning refrigeration compressor energy consumption W calculated by equation (10) cmp,cool,actual When the vehicle's air conditioning is in heating mode, the actual energy consumption (W) of the thermal management system is... cmp,actual The actual heat pump heating compressor energy consumption W calculated by equation (16) cmp,heat,actual ;

[0114] Based on the current remaining battery power, if the total energy consumption W required to reach the destination is greater than the current remaining battery power, the system calculates the corresponding energy-saving or charging solutions and recommends them to the user.

[0115] Compared with the prior art, the present invention has the following beneficial effects:

[0116] 1. This invention uses the cooling (heating) energy efficiency ratio (COP) of the air conditioning system to estimate the actual energy consumption of the compressor, replacing the thermal management model simulation calculation, thereby achieving a more accurate estimation of the energy consumption of the vehicle air conditioning thermal management system using only sensor parameters;

[0117] 2. This invention estimates the power required for an electric vehicle to overcome rolling resistance, aerodynamic resistance, gradient resistance, and inertial resistance on a certain road segment, thereby enabling the estimation of the total power of the electric vehicle's electric drive on that sub-road segment using only electric vehicle parameters, GPS, and navigation software. Attached Figure Description

[0118] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0119] Figure 1 This is a schematic diagram of the process of the present invention. Detailed Implementation

[0120] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0121] Example 1:

[0122] This invention discloses a method for predicting the energy consumption of electric vehicles based on road information, vehicle air conditioning thermal management, and vehicle electric drive models. It utilizes parameters collected from GPS, navigation software, weather forecast software, and onboard air conditioning sensors to calculate the electric drive energy consumption, thermal management energy consumption, and electronic and electrical energy consumption during electric vehicle driving. Before the trip begins, it predicts the total energy consumption required to reach the destination, calculates energy-saving solutions based on the current onboard battery level, and recommends solutions to the user.

[0123] According to the present invention, an electric vehicle energy consumption prediction method based on road information and air conditioning thermal management is provided, such as... Figure 1 As shown, it includes:

[0124] Step S1: Obtain the parameters of the electric vehicle;

[0125] Specifically, in step S1:

[0126] To obtain the basic vehicle parameters of the electric vehicle, parameters are collected from GPS, navigation software, weather forecast software, and onboard air conditioning sensors. The specific parameters required are as follows:

[0127] Step S1.1: Obtain the vehicle parameters of the electric vehicle, including: the current remaining battery charge, vehicle weight, frontal area, drag coefficient, rolling resistance coefficient, motor power characteristic curve, downhill energy recovery ratio, braking energy recovery ratio, and power parameters of the vehicle's electrical appliances.

[0128] Step S1.2: Obtain current environmental parameters, including: current weather conditions, ambient temperature, atmospheric pressure, and air density;

[0129] Step S1.3: Obtain navigation route planning and driving condition parameters from GPS and navigation software, including: vehicle departure and destination location information, initial departure time, navigation route planning information and road condition information;

[0130] Step S1.4: Obtain vehicle air conditioning thermal management system parameters, including: evaporator inlet temperature, evaporator outlet temperature, evaporator air flow rate and specific heat capacity, isentropic efficiency and mechanical efficiency of air conditioning compressor motor.

[0131] Step S2: Calculate the total electric drive energy consumption based on the acquired parameters;

[0132] Specifically, in step S2:

[0133] The average speed within the current sub-segment is v p The change in average velocity per unit time is calculated as the average acceleration a within the segment. p The power consumption of sub-segment i is calculated as follows:

[0134]

[0135] Where, η t ρ is the electric drive efficiency, α is the product of motor efficiency and controller efficiency; m is the vehicle mass; ρ is the air density; C is the drag coefficient; A is the vehicle's frontal area; k is the gradient of this sub-segment; α is the energy recovery ratio during downhill driving; β is the energy recovery ratio during braking; P all,i P represents the total electric drive power consumption of the sub-section. roll To overcome rolling resistance, electric drive power, P aero To overcome aerodynamic drag, electric drive power, P slope To overcome the slope resistance, the electric drive power, P inertia To overcome inertial resistance, the electric drive power is used, where g is the acceleration due to gravity and f is the rolling resistance coefficient;

[0136] Based on the power consumption of the electric drive in the sub-segment calculated according to formula (1), the energy consumption of the electric drive per unit mileage in the current sub-segment is calculated as follows:

[0137]

[0138] The total electric drive energy consumption for the planned route is calculated as follows:

[0139]

[0140] Where N is the total number of sub-segments; E i S is the electric drive energy consumption per unit mileage within the sub-segment calculated in equation (2); i This refers to the length of the sub-section of the road.

[0141] Step S3: Calculate the compressor energy consumption based on the acquired parameters, and calculate the total energy consumption of the thermal management system;

[0142] Specifically, in step S3:

[0143] Based on the cooling or heating energy efficiency ratio of the air conditioning system, the compressor energy consumption is calculated under the cooling and heating conditions of the vehicle air conditioning system, and the compressor energy consumption is equal to the total energy consumption of the vehicle thermal management system during vehicle operation.

[0144] Air conditioning system cooling energy efficiency ratio (CoP) cooling,ideal for:

[0145]

[0146] Among them, W cmp,cool,ideal Q represents the energy consumption of an air conditioning compressor under ideal conditions. c The heat absorbed by the evaporator from the cabin air, and the heat released by the condenser to the ambient air, is the sum of the energy consumption of the refrigeration and air conditioning compressor and the heat absorbed by the evaporator from the cabin air. The COP (Coefficient of Performance) is calculated as follows: cooling,ideal Transform into:

[0147]

[0148] Among them, Q H Q represents the heat released by the condenser into the cabin air. C T represents the heat absorbed by the evaporator from the cabin air. C To achieve the low refrigerant phase change temperature, it is determined by the evaporator air outlet temperature T. EOAT Subtract temperature correction ΔT C Calculate; T H The high refrigerant phase change temperature is determined by the condenser air-side temperature T. ENV Add temperature correction ΔT H Calculate T EOAT and T ENV According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time:

[0149]

[0150] The heat Q absorbed by the evaporator from the cabin air C The evaporator inlet temperature T EIAT and evaporator outlet temperature T EOAT The calculations yielded the following results:

[0151]

[0152] in, For air mass flow rate, C p,air The specific heat capacity of air;

[0153] Ideal air conditioner refrigeration compressor energy consumption (W) cmp,cool,ideal for:

[0154]

[0155] Actual air conditioning compressor energy consumption (W) cmp,cool,actual for:

[0156]

[0157] Wherein, the isentropic efficiency η s η is obtained by looking up a table. m For mechanical efficiency; the actual energy consumption of the air conditioning refrigeration compressor is calculated as follows:

[0158]

[0159] Air conditioning heating efficiency ratio (COP) heating,ideal for:

[0160]

[0161] Among them, T H The high refrigerant phase change temperature is determined by the condenser air-side outlet temperature T. IOAT Add temperature correction ΔT H Calculate; T C The low refrigerant phase change temperature is determined by the evaporator air-side outlet temperature T. ENV Subtract temperature correction ΔT C Calculate; T IOAT and T ENV According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time:

[0162]

[0163] The heat Q released by the condenser into the cabin air H From the condenser inlet temperature T IIAT and evaporator outlet temperature T IOAT The calculations yielded the following results:

[0164]

[0165] Ideal heat pump heating compressor energy consumption (W) cmp,heat,ideal for:

[0166]

[0167] Actual heat pump heating compressor energy consumption (W) cmp,heat,actual for:

[0168]

[0169] Wherein, the isentropic efficiency η s Obtained by looking up a table; η m For mechanical efficiency, the actual energy consumption of the heat pump heating compressor is calculated as follows:

[0170]

[0171] Step S4: Based on the acquired parameters and the calculated total electric drive energy consumption and total energy consumption of the thermal management system, predict the total energy consumption required to reach the destination and recommend energy-saving solutions to the user.

[0172] Specifically, in step S4:

[0173] Based on the acquired vehicle electrical power parameters P decice And calculate the energy consumption (W) of the vehicle's electronic and electrical systems for the entire journey, based on the estimated travel time (T). device Based on the vehicle's total electric drive energy consumption W ed And the actual energy consumption (W) of the vehicle's air conditioning thermal management system. cmp,actualThe total energy consumption W required to reach the destination is calculated as follows:

[0174] W = W ed +W cmp,actual +W device (17)

[0175] Among them, the actual energy consumption (W) of the thermal management system during vehicle air conditioning cooling is... cmp,actual The actual air conditioning refrigeration compressor energy consumption W calculated by equation (10) cmp,cool,actual When the vehicle's air conditioning is in heating mode, the actual energy consumption (W) of the thermal management system is... cmp,actual The actual heat pump heating compressor energy consumption W calculated by equation (16) cmp,heat,actual ;

[0176] Based on the current remaining battery power, if the total energy consumption W required to reach the destination is greater than the current remaining battery power, the system calculates the corresponding energy-saving or charging solutions and recommends them to the user.

[0177] Example 2:

[0178] Example 2 is a preferred embodiment of Example 1, and is used to illustrate the present invention in more detail.

[0179] The present invention also provides an electric vehicle energy consumption prediction system based on road information and air conditioning thermal management. The electric vehicle energy consumption prediction system based on road information and air conditioning thermal management can be implemented by executing the process steps of the electric vehicle energy consumption prediction method based on road information and air conditioning thermal management. That is, those skilled in the art can understand the electric vehicle energy consumption prediction method based on road information and air conditioning thermal management as a preferred embodiment of the electric vehicle energy consumption prediction system based on road information and air conditioning thermal management.

[0180] An electric vehicle energy consumption prediction system based on road information and air conditioning thermal management, provided by the present invention, includes:

[0181] Module M1: Obtains parameters of the electric vehicle;

[0182] Specifically, in module M1:

[0183] To obtain the basic vehicle parameters of the electric vehicle, parameters are collected from GPS, navigation software, weather forecast software, and onboard air conditioning sensors. The specific parameters required are as follows:

[0184] Module M1.1: Obtains the vehicle parameters of the electric vehicle, including: the current remaining battery power, vehicle weight, frontal area, drag coefficient, rolling resistance coefficient, motor power characteristic curve, downhill energy recovery ratio, braking energy recovery ratio, and power parameters of the vehicle's electrical appliances.

[0185] Module M1.2: Obtains current environmental parameters, including: current weather conditions, ambient temperature, atmospheric pressure, and air density;

[0186] Module M1.3: Obtains navigation route planning and driving traffic parameters from GPS and navigation software, including: vehicle departure and destination location information, initial departure time, navigation route planning information and traffic information;

[0187] Module M1.4: Obtains parameters of the vehicle air conditioning thermal management system, including: evaporator inlet temperature, evaporator outlet temperature, evaporator air flow rate and specific heat capacity, isentropic efficiency and mechanical efficiency of the air conditioning compressor motor.

[0188] Module M2: Calculates total electric drive energy consumption based on acquired parameters;

[0189] Specifically, in module M2:

[0190] The average speed within the current sub-segment is v p The change in average velocity per unit time is calculated as the average acceleration a within the segment. p The power consumption of sub-segment i is calculated as follows:

[0191]

[0192] Where, η t ρ is the electric drive efficiency, α is the product of motor efficiency and controller efficiency; m is the vehicle mass; ρ is the air density; C is the drag coefficient; A is the vehicle's frontal area; k is the gradient of this sub-segment; α is the energy recovery ratio during downhill driving; β is the energy recovery ratio during braking; P all,i P represents the total electric drive power consumption of the sub-section. roll To overcome rolling resistance, electric drive power, P aero To overcome aerodynamic drag, electric drive power, P slope To overcome the slope resistance, the electric drive power, P inertia To overcome inertial resistance, the electric drive power is used, where g is the acceleration due to gravity and f is the rolling resistance coefficient;

[0193] Based on the power consumption of the electric drive in the sub-segment calculated according to formula (1), the energy consumption of the electric drive per unit mileage in the current sub-segment is calculated as follows:

[0194]

[0195] The total electric drive energy consumption for the planned route is calculated as follows:

[0196]

[0197] Where N is the total number of sub-segments; E iS is the electric drive energy consumption per unit mileage within the sub-segment calculated in equation (2); i This refers to the length of the sub-section of the road.

[0198] Module M3: Calculates compressor energy consumption and total energy consumption of the thermal management system based on acquired parameters;

[0199] Specifically, in module M3:

[0200] Based on the cooling or heating energy efficiency ratio of the air conditioning system, the compressor energy consumption is calculated under the cooling and heating conditions of the vehicle air conditioning system, and the compressor energy consumption is equal to the total energy consumption of the vehicle thermal management system during vehicle operation.

[0201] COP of air conditioning system cooling,ideal for:

[0202]

[0203] Among them, W cmp,cool,ideal Q represents the energy consumption of an air conditioning compressor under ideal conditions. c The heat absorbed by the evaporator from the cabin air, and the heat released by the condenser to the ambient air, is the sum of the energy consumption of the refrigeration and air conditioning compressor and the heat absorbed by the evaporator from the cabin air. The COP (Coefficient of Performance) is calculated as follows: cooling,ideal Transform into:

[0204]

[0205] Among them, Q H Q represents the heat released by the condenser into the cabin air. C T represents the heat absorbed by the evaporator from the cabin air. C To achieve the low refrigerant phase change temperature, it is determined by the evaporator air outlet temperature T. EOAT Subtract temperature correction ΔT C Calculate; T H The high refrigerant phase change temperature is determined by the condenser air-side temperature T. ENV Add temperature correction ΔT H Calculate T EOAT and T ENV According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time:

[0206]

[0207] The heat Q absorbed by the evaporator from the cabin air C The evaporator inlet temperature T EIAT and evaporator outlet temperature T EOAT The calculations yielded the following results:

[0208]

[0209] in, For air mass flow rate, C p,air The specific heat capacity of air;

[0210] Ideal air conditioner refrigeration compressor energy consumption (W) cmp,cool,ideal for:

[0211]

[0212] Actual air conditioning compressor energy consumption (W) cmp,cool,actual for:

[0213]

[0214] Wherein, the isentropic efficiency η s η is obtained by looking up a table. m For mechanical efficiency; the actual energy consumption of the air conditioning refrigeration compressor is calculated as follows:

[0215]

[0216] Air conditioning heating efficiency ratio (COP) heating,ideal for:

[0217]

[0218] Among them, T H The high refrigerant phase change temperature is determined by the condenser air-side outlet temperature T. IOAT Add temperature correction ΔT H Calculate; T C The low refrigerant phase change temperature is determined by the evaporator air-side outlet temperature T. ENV Subtract temperature correction ΔT C Calculate; T IOAT and T ENV According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time:

[0219]

[0220] The heat Q released by the condenser into the cabin air H From the condenser inlet temperature T IIAT and evaporator outlet temperature T IOAT The calculations yielded the following results:

[0221]

[0222] Ideal heat pump heating compressor energy consumption (W) cmp,heat,ideal for:

[0223]

[0224] Actual heat pump heating compressor energy consumption (W) cmp,heat,actual for:

[0225]

[0226] Wherein, the isentropic efficiency η s Obtained by looking up a table; η m For mechanical efficiency, the actual energy consumption of the heat pump heating compressor is calculated as follows:

[0227]

[0228] Module M4: Based on the acquired parameters and the calculated total electric drive energy consumption and total energy consumption of the thermal management system, it predicts the total energy consumption required to reach the destination and recommends energy-saving solutions to the user.

[0229] Specifically, in module M4:

[0230] Based on the acquired vehicle electrical power parameters P device And calculate the energy consumption (W) of the vehicle's electronic and electrical systems for the entire journey, based on the estimated travel time (T). device Based on the vehicle's total electric drive energy consumption W ed And the actual energy consumption (W) of the vehicle's air conditioning thermal management system. cmp,actual The total energy consumption W required to reach the destination is calculated as follows:

[0231] W = W ed +W cmp,actual +W device (17)

[0232] Among them, the actual energy consumption (W) of the thermal management system during vehicle air conditioning cooling is... cmp,actual The actual air conditioning refrigeration compressor energy consumption W calculated by equation (10) cmp,cool,actual When the vehicle's air conditioning is in heating mode, the actual energy consumption (W) of the thermal management system is... cmp,actual The actual heat pump heating compressor energy consumption W calculated by equation (16) cmp,heat,actual ;

[0233] Based on the current remaining battery power, if the total energy consumption W required to reach the destination is greater than the current remaining battery power, the system calculates the corresponding energy-saving or charging solutions and recommends them to the user.

[0234] Example 3:

[0235] Example 3 is a preferred example of Example 1, and is used to illustrate the present invention in more detail.

[0236] A method for predicting the energy consumption of electric vehicles based on road information and vehicle air conditioning thermal management, the specific steps of which are as follows:

[0237] Step 1: Obtain the basic vehicle parameters of the electric vehicle, and collect parameters from GPS, navigation software, weather forecast software, and vehicle air conditioning sensors. The specific parameters required are as follows:

[0238] Step 1.1: Obtain the vehicle parameters of the electric vehicle, including: the current remaining battery charge, vehicle weight, frontal area, drag coefficient, rolling resistance coefficient, motor power characteristic curve, downhill energy recovery ratio, braking energy recovery ratio, and power parameters of the main on-board electrical appliances.

[0239] Step 1.2: Obtain current environmental parameters, including: current weather conditions, ambient temperature, atmospheric pressure, and air density;

[0240] Step 1.3: Obtain navigation route planning and driving condition parameters from GPS and navigation software, including: location information of vehicle departure and destination (latitude, longitude and altitude), initial departure time, navigation route planning information (including estimated travel time, sub-segment list, initial and end location information of sub-segments, road length of sub-segments, average speed within the segment, current congestion level of sub-segments) and road condition information (road type and gradient).

[0241] Step 1.4: Obtain vehicle air conditioning thermal management system parameters, including: evaporator inlet temperature, evaporator outlet temperature, evaporator airflow and specific heat capacity, isentropic efficiency and mechanical efficiency of air conditioning compressor motor;

[0242] Step 2: Based on the parameters obtained in Step 1, estimate the total electric drive power requirement of the electric vehicle during operation from four aspects: overcoming rolling resistance, aerodynamic drag, gradient drag, and inertial drag. The average speed in the current sub-segment is v. p The change in average velocity per unit time is estimated as the average acceleration *a* within the segment. p The power consumption of the electric drive in sub-segment i is calculated as follows:

[0243]

[0244]

[0245] Where η t ρ is the electric drive efficiency, α is the product of motor efficiency and controller efficiency; m is the vehicle mass; ρ is the air density; C is the drag coefficient; A is the vehicle's frontal area; k is the gradient of this sub-segment; α is the energy recovery ratio during downhill driving; β is the energy recovery ratio during braking; P all,i P represents the total electric drive power consumption of this sub-section. roll To overcome rolling resistance, electric drive power, P aero To overcome aerodynamic drag, electric drive power, P slope To overcome the slope resistance, the electric drive power, Pinertia To overcome inertial resistance, the electric drive power is used, where g is the acceleration due to gravity and f is the rolling resistance coefficient;

[0246] Based on the power consumption of the electric drive in the sub-segment calculated according to equation (1), the energy consumption per unit mileage of the current sub-segment can be calculated as follows:

[0247]

[0248] Therefore, the total electric drive energy consumption for the planned route is estimated as follows:

[0249]

[0250] Where N is the total number of sub-segments; E i S is the electric drive energy consumption per unit mileage within the sub-segment calculated in equation (2); i This refers to the length of the sub-section of the road.

[0251] Step 3: Based on the parameters obtained in Step 1, the energy consumption of the vehicle's air conditioning thermal management system mainly comes from the compressor's power consumption. Therefore, this invention estimates the compressor's energy consumption under both cooling and heating conditions based on the air conditioning system's cooling (heating) energy efficiency ratio (COP). Since the main energy consumption of the thermal management system comes from the compressor, this invention uses the compressor's energy consumption under cooling or heating conditions to estimate and approximate the total energy consumption of the vehicle's thermal management system during vehicle operation; under cooling conditions, it represents the energy consumption of the cooling compressor. Only one of the two conditions exists at any given time.

[0252] When the air conditioner is in cooling mode, the low-temperature, low-pressure gaseous refrigerant from the evaporator is pressurized and heated by the compressor before being sent to the condenser. The high-temperature, high-pressure gaseous refrigerant exchanges heat with the outside air in the condenser, turning the refrigerant into a low-temperature, high-pressure liquid and dissipating heat to the outside environment. This low-temperature, high-pressure liquid refrigerant then passes through the expansion valve and evaporator, thus achieving the cooling purpose. Ideally, under these conditions, the air conditioning system's Coefficient of Performance (COP) is [value missing]. cooling,ideal for:

[0253]

[0254] Among them, W cmp,cool Energy consumption of the air conditioning compressor; Q c The heat absorbed by the evaporator from the cabin air, and the heat released by the condenser to the ambient air, is the sum of the former two. Therefore, the COP of the air conditioning system is calculated as follows: cooling,ideal It can be converted into:

[0255]

[0256] Among them, QH T represents the heat released by the condenser into the cabin air. C To achieve a low refrigerant phase change temperature, it can be determined from the evaporator air outlet temperature T. EOAT Subtract temperature correction ΔT C (T is typically estimated using 10 degrees Celsius); H The high refrigerant phase change temperature can be determined by the condenser air-side temperature (ambient temperature) T. ENV Add temperature correction ΔT H (T is usually estimated using 15 degrees Celsius). EOAT and T ENV These values ​​can be measured by sensors in the vehicle's air conditioning thermal management system and are expressed as absolute temperatures. Therefore, the ideal air conditioning cooling efficiency ratio is:

[0257]

[0258] Meanwhile, the heat absorbed by the evaporator from the cabin air can be determined by the evaporator inlet temperature T. EIAT and evaporator outlet temperature T EOAT The calculations yielded the following results:

[0259]

[0260] in For air mass flow rate, C p,air This is the specific heat capacity of air.

[0261] According to equation (4), the energy consumption W of the air conditioning refrigeration compressor under ideal conditions can be calculated. cmp,cool,ideal for:

[0262]

[0263] However, due to losses, the actual energy consumption of the compressor will be higher, considering the isentropic efficiency η. s and mechanical efficiency η m Actual energy consumption of air conditioning refrigeration compressor (W) cmp,cool,actual for:

[0264]

[0265] Where the isentropic efficiency η s The mechanical efficiency η can be obtained by looking up a table. m Based on experience, a constant value of 0.95 is used. The final estimated energy consumption of the actual air conditioner compressor is:

[0266]

[0267] When the air conditioner is in heating mode, the high-temperature, high-pressure gaseous refrigerant from the heat pump compressor passes directly through the vehicle's interior heat exchanger, where it transforms into a low-temperature, high-pressure liquid, releasing a large amount of heat to achieve the heating purpose. Therefore, under ideal conditions, the air conditioner's heating efficiency is higher than its COP (Coefficient of Performance). heating,ideal for:

[0268]

[0269] Where T H The high refrigerant phase change temperature can be determined by the condenser air-side outlet temperature T. IOAT Add temperature correction ΔT H (T is typically estimated at 15 degrees Celsius); C To achieve a low refrigerant phase change temperature, it can be determined by the evaporator air-side outlet temperature (ambient temperature) T. ENV Subtract temperature correction ΔT C (T is usually estimated using 10 degrees Celsius). IOAT and T ENV This can be measured by sensors in the vehicle's air conditioning thermal management system, and all values ​​are expressed as absolute temperatures. Therefore, the ideal air conditioning heating efficiency ratio is:

[0270]

[0271] Meanwhile, the heat released by the condenser into the cabin air can be measured by the condenser inlet temperature T. IIAT and evaporator outlet temperature T IOAT The calculations yielded the following results:

[0272]

[0273] According to equation (11), the energy consumption W of the heat pump heating compressor under ideal conditions can be calculated. cmp,heat,ideal for:

[0274]

[0275] However, due to losses, the actual energy consumption of the compressor will be higher, considering the isentropic efficiency η. s and mechanical efficiency η m Actual heat pump heating compressor energy consumption (W) cmp,heat,actual for:

[0276]

[0277] Where the isentropic efficiency η s The mechanical efficiency η can be obtained by looking up a table. m Based on experience, a constant value of 0.95 is used. The final estimated energy consumption of the actual heat pump heating compressor is:

[0278]

[0279] Step 4: Based on the main vehicle electrical power parameters P obtained in Step 1 device And calculate the energy consumption (W) of the vehicle's electronic and electrical systems for the entire journey, based on the estimated travel time (T). device And the total electric drive energy consumption W of the vehicle estimated in steps 2 and 3. ed And the actual energy consumption (W) of the vehicle's air conditioning thermal management system. cmp,actual The total energy consumption W required to reach the destination is predicted to be:

[0280] W = W ed +W cmp,actual +W device (17)

[0281] Among them, the actual energy consumption (W) of the thermal management system during vehicle air conditioning cooling is... cmp,actual The actual air conditioning refrigeration compressor energy consumption W calculated by equation (10) cmp,cool,actual When the vehicle's air conditioning is in heating mode, the actual energy consumption (W) of the thermal management system is... cmp,actual The actual heat pump heating compressor energy consumption W calculated by equation (16) cmp,heat,actual .

[0282] Step 5: Based on the current remaining battery charge (SOC) obtained in Step 1, if the predicted total energy consumption (W) required to reach the destination is greater than the current remaining battery charge, calculate the corresponding energy-saving or charging scheme and recommend it to the user.

[0283] Those skilled in the art will understand that, in addition to implementing the system, apparatus, and their modules provided by this invention in purely computer-readable program code, the same program can be implemented in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system, apparatus, and their modules provided by this invention can be considered a hardware component, and the modules included therein for implementing various programs can also be considered structures within the hardware component; alternatively, modules for implementing various functions can be considered both software programs implementing the method and structures within the hardware component.

[0284] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A method for predicting the energy consumption of an electric vehicle based on road information and air conditioning thermal management, characterized in that, include: Step S1: Obtain the parameters of the electric vehicle; Step S2: Calculate the total electric drive energy consumption based on the acquired parameters; Step S3: Calculate the compressor energy consumption based on the acquired parameters, and calculate the total energy consumption of the thermal management system; Step S4: Based on the acquired parameters and the calculated total electric drive energy consumption and total energy consumption of the thermal management system, predict the total energy consumption required to reach the destination and recommend energy-saving solutions to the user. In step S3: Based on the cooling or heating energy efficiency ratio of the air conditioning system, the compressor energy consumption is calculated under the cooling and heating conditions of the vehicle air conditioning system, and the compressor energy consumption is equal to the total energy consumption of the vehicle thermal management system during vehicle operation. Air conditioning system refrigeration energy efficiency ratio Is: （4） wherein, is the energy consumption of the refrigeration air-conditioning compressor in the ideal case; is the heat absorbed from the cabin air by the evaporator, while the heat released to the ambient air by the condenser is the sum of the energy consumption of the refrigeration air-conditioning compressor and the heat absorbed from the cabin air by the evaporator, and is converted into: （5） wherein, Qcond is the heat released by the condenser into the cabin air, Qevap is the heat absorbed by the evaporator from the cabin air, Tl is the low refrigerant phase change temperature, calculated from the evaporator air outlet temperature minus a temperature correction, Qcond is the heat released by the condenser into the cabin air, T2 is the high refrigerant phase change temperature, calculated from the condenser air side temperature plus a temperature correction, Qcond is the heat released by the condenser into the cabin air, and measured by the vehicle air conditioning thermal management system sensors, at which time: （6） Heat absorbed from the cabin air by the evaporator by the evaporator inlet temperature and the evaporator outlet temperature is calculated as follows: （7） wherein, for the air mass flow, for the air specific heat capacity; Ideal air conditioner refrigeration compressor energy consumption To: （8） Actual air conditioner refrigeration compressor energy consumption Is: （9） Wherein, isentropic efficiency Obtained by looking up a table, The mechanical efficiency; the actual air conditioning refrigeration compressor energy consumption is calculated as: （10） Air conditioner heating efficiency ratio Is: （11） wherein, is the high refrigerant phase change temperature, calculated from the condenser air side outlet temperature plus the temperature correction amount is calculated; is the low refrigerant phase change temperature, calculated from the evaporator air side outlet temperature minus the temperature correction amount is calculated; and measured by the vehicle air conditioning thermal management system sensors, at which time: （12） Heat released by the condenser into the cabin air from the condenser inlet temperature and the evaporator outlet temperature is calculated as follows: （13） Ideal heat pump heating compressor energy consumption Is: （14） Actual heat pump heating compressor energy consumption for: （15） Among them, isentropic efficiency Obtained by looking up a table; For mechanical efficiency, the actual energy consumption of the heat pump heating compressor is calculated as follows: （16）。 2. The method for predicting electric vehicle energy consumption based on road information and air conditioning thermal management according to claim 1, characterized in that, In step S1: To obtain the basic vehicle parameters of the electric vehicle, parameters are collected from GPS, navigation software, weather forecast software, and onboard air conditioning sensors. The specific parameters required are as follows: Step S1.1: Obtain the vehicle parameters of the electric vehicle, including: the current remaining battery charge, vehicle weight, frontal area, drag coefficient, rolling resistance coefficient, motor power characteristic curve, downhill energy recovery ratio, braking energy recovery ratio, and power parameters of the vehicle's electrical appliances. Step S1.2: Obtain current environmental parameters, including: current weather conditions, ambient temperature, atmospheric pressure, and air density; Step S1.3: Obtain navigation route planning and driving condition parameters from GPS and navigation software, including: vehicle departure and destination location information, initial departure time, navigation route planning information and road condition information; Step S1.4: Obtain vehicle air conditioning thermal management system parameters, including: evaporator inlet temperature, evaporator outlet temperature, evaporator air flow rate and specific heat capacity, isentropic efficiency and mechanical efficiency of air conditioning compressor motor.

3. The method for predicting electric vehicle energy consumption based on road information and air conditioning thermal management according to claim 1, characterized in that, In step S2: The average speed within the current sub-segment is The change in average velocity per unit time is calculated as the average acceleration within the segment. Calculate sub-segments The power consumption of the electric drive is expressed as follows: （1） in, For electric drive efficiency, and for motor efficiency, and for controller efficiency. Overall vehicle weight; air density; This refers to the drag coefficient; The frontal area of ​​the vehicle; The slope of this sub-section; The energy recovery ratio during downhill driving; The energy recovery ratio during braking; The total electric drive power consumption of the sub-section To overcome rolling resistance, electric drive power, To overcome aerodynamic drag and increase electric drive power, To overcome the slope resistance, electric drive power, To overcome inertial resistance, electric drive power, It is the acceleration due to gravity. This is the rolling resistance coefficient; The electric drive power consumption per unit mileage within the current sub-segment is calculated based on equation (1): （2） The total electric drive energy consumption for the planned route is calculated as follows: （3） in, This represents the total number of sub-segments; The electric drive energy consumption per unit mileage within the sub-segment calculated in equation (2); This refers to the length of the sub-section of the road.

4. The method for predicting electric vehicle energy consumption based on road information and air conditioning thermal management according to claim 1, characterized in that, In step S4: Based on the acquired vehicle electrical power parameters And calculate the energy consumption of the vehicle's electronic and electrical systems for the entire journey, based on the estimated travel time T. Based on the total electric drive energy consumption of the vehicle and the actual energy consumption of the vehicle's air conditioning thermal management system. Calculate the total energy consumption required to reach the destination. for: （17） Among them, the actual energy consumption of the thermal management system when the vehicle air conditioner is cooling. The actual energy consumption of the air conditioning refrigeration compressor calculated by equation (10) The actual energy consumption of the thermal management system when the vehicle's air conditioning is in heating mode. The actual heat pump heating compressor energy consumption calculated by equation (16) ; Based on the current remaining battery power, the total energy consumption required to reach the destination is calculated. If the remaining battery power is greater than the current remaining power of the vehicle's battery, calculate the corresponding energy-saving or charging solutions and recommend them to the user.

5. An electric vehicle energy consumption prediction system based on road information and air conditioning thermal management, characterized in that, include: Module M1: Obtains parameters of the electric vehicle; Module M2: Calculates total electric drive energy consumption based on acquired parameters; Module M3: Calculates compressor energy consumption and total energy consumption of the thermal management system based on acquired parameters; Module M4: Based on the acquired parameters and the calculated total electric drive energy consumption and total energy consumption of the thermal management system, it predicts the total energy consumption required to reach the destination and recommends energy-saving solutions to the user. In module M3: Based on the cooling or heating energy efficiency ratio of the air conditioning system, the compressor energy consumption is calculated under the cooling and heating conditions of the vehicle air conditioning system, and the compressor energy consumption is equal to the total energy consumption of the vehicle thermal management system during vehicle operation. Air conditioning system cooling energy efficiency ratio for: （4） in, This represents the energy consumption of an air conditioning compressor under ideal conditions. The heat absorbed by the evaporator from the cabin air, and the heat released by the condenser to the ambient air, is the sum of the energy consumption of the air conditioning compressor and the heat absorbed by the evaporator from the cabin air. Transform into: （5） in, This refers to the heat released by the condenser into the cabin air. This refers to the heat absorbed by the evaporator from the cabin air. The low refrigerant phase change temperature is determined by the evaporator air outlet temperature. Subtract temperature correction Calculated; The high refrigerant phase change temperature is determined by the air-side temperature of the condenser. Add temperature correction Calculated, and According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time: （6） The heat absorbed by the evaporator from the cabin air Evaporator inlet temperature and evaporator outlet temperature The calculations yielded the following results: （7） in, Air mass flow rate, The specific heat capacity of air; Ideal air conditioning compressor energy consumption for: （8） Actual energy consumption of air conditioning refrigeration compressor for: （9） Among them, isentropic efficiency Obtained by looking up a table. For mechanical efficiency; the actual energy consumption of the air conditioning refrigeration compressor is calculated as follows: （10） Air conditioning heating efficiency ratio for: （11） in, The high refrigerant phase change temperature is determined by the condenser air-side outlet temperature. Add temperature correction Calculated; The low refrigerant phase change temperature is determined by the evaporator air-side outlet temperature. Subtract temperature correction Calculated; and According to measurements from the sensors of the vehicle's air conditioning thermal management system, at this time: （12） The heat released by the condenser into the cabin air Condenser inlet temperature and evaporator outlet temperature The calculations yielded the following results: （13） Ideal heat pump heating compressor energy consumption for: （14） Actual heat pump heating compressor energy consumption for: （15） Among them, isentropic efficiency Obtained by looking up a table; For mechanical efficiency, the actual energy consumption of the heat pump heating compressor is calculated as follows: （16）。 6. The electric vehicle energy consumption prediction system based on road information and air conditioning thermal management according to claim 5, characterized in that, In module M1: To obtain the basic vehicle parameters of the electric vehicle, parameters are collected from GPS, navigation software, weather forecast software, and onboard air conditioning sensors. The specific parameters required are as follows: Module M1.1: Obtains the vehicle parameters of the electric vehicle, including: the current remaining battery power, vehicle weight, frontal area, drag coefficient, rolling resistance coefficient, motor power characteristic curve, downhill energy recovery ratio, braking energy recovery ratio, and power parameters of the vehicle's electrical appliances. Module M1.2: Obtains current environmental parameters, including: current weather conditions, ambient temperature, atmospheric pressure, and air density; Module M1.3: Obtains navigation route planning and driving traffic parameters from GPS and navigation software, including: vehicle departure and destination location information, initial departure time, navigation route planning information and traffic information; Module M1.4: Obtains parameters of the vehicle air conditioning thermal management system, including: evaporator inlet temperature, evaporator outlet temperature, evaporator air flow rate and specific heat capacity, isentropic efficiency and mechanical efficiency of the air conditioning compressor motor.

7. The electric vehicle energy consumption prediction system based on road information and air conditioning thermal management according to claim 5, characterized in that, In module M2: The average speed within the current sub-segment is The change in average velocity per unit time is calculated as the average acceleration within the segment. Calculate sub-segments The power consumption of the electric drive is expressed as follows: （1） in, For electric drive efficiency, and for motor efficiency, and for controller efficiency. Overall vehicle weight; air density; This refers to the drag coefficient; The frontal area of ​​the vehicle; The slope of this sub-section; The energy recovery ratio during downhill driving; The energy recovery ratio during braking; The total electric drive power consumption of the sub-section To overcome rolling resistance, electric drive power, To overcome aerodynamic drag and increase electric drive power, To overcome the slope resistance, electric drive power, To overcome inertial resistance, electric drive power, It is the acceleration due to gravity. This is the rolling resistance coefficient; The electric drive power consumption per unit mileage within the current sub-segment is calculated based on equation (1): （2） The total electric drive energy consumption for the planned route is calculated as follows: （3） in, This represents the total number of sub-segments; The electric drive energy consumption per unit mileage within the sub-segment calculated in equation (2); This refers to the length of the sub-section of the road.

8. The electric vehicle energy consumption prediction system based on road information and air conditioning thermal management according to claim 5, characterized in that, In module M4: Based on the acquired vehicle electrical power parameters And calculate the energy consumption of the vehicle's electronic and electrical systems for the entire journey, based on the estimated travel time T. Based on the total electric drive energy consumption of the vehicle and the actual energy consumption of the vehicle's air conditioning thermal management system. Calculate the total energy consumption required to reach the destination. for: （17） Among them, the actual energy consumption of the thermal management system when the vehicle air conditioner is cooling. The actual energy consumption of the air conditioning refrigeration compressor calculated by equation (10) The actual energy consumption of the thermal management system when the vehicle's air conditioning is in heating mode. The actual heat pump heating compressor energy consumption calculated by equation (16) ; Based on the current remaining battery power, the total energy consumption required to reach the destination is calculated. If the remaining battery power is greater than the current remaining power of the vehicle's battery, calculate the corresponding energy-saving or charging solutions and recommend them to the user.

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