CN103213504A - Driving range estimation method of electric car - Google Patents
Driving range estimation method of electric car Download PDFInfo
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Abstract
The invention discloses a driving range estimation method of an electric car. The driving range estimation method of the electric car comprises the following steps: 1.1 a planned route and the future microcosmic traffic state of the route are obtained according to a set departure site, a destination and the departure time; 1.2 an aggregative variable is calculated based on the obtained speed per second and an acceleration; 1.3 a built electric car electricity consumption rate model is selected according to different driving conditions, and electricity consumption per second is calculated by combining the calculated aggregative variable; and 1.4 residual electric quantity of a current battery is obtained, residual energy of the battery is calculated, and residual range is obtained through circular calculation by combing the electricity consumption of the car. The driving range estimation method of the electric car takes the influence of a real traffic state on the energy consumption of the electric car into account, and overcomes the defect that the estimation result of an existing method is not accurate enough.
Description
Technical field
The present invention relates to the electric vehicle engineering field, relate in particular to a kind of electronlmobil continual mileage evaluation method.
Background technology
In the face of the energy shortage and the ecological deterioration problem that are on the rise, pure electric automobile is subjected to extensive concern because of having low energy consumption, zero-emission, low noise, high-energy source degree of utilization, simple in structure and for ease of maintenaince wait advantage.Yet limited capacity of cell makes that the continual mileage of electronlmobil is shorter, needs repeatedly to charge in the process of trip.Therefore, estimate that exactly the continual mileage of electronlmobil can make chaufeur obtain the remaining mileage of electronlmobil in real time, and then reasonably select running route, give vehicle charging in time.Existing method of estimation is mostly with the discharge current of current battery and the terminal voltage principal parameter as the estimation remaining mileage, but the variation that discharge current under the true traffic behavior that do not look to the future and terminal voltage are taken place makes estimated result accurate inadequately.
Summary of the invention
The technical matters that the present invention solves is how accurately to estimate the electronlmobil continual mileage, for chaufeur choose reasonable running route, charging in time provide foundation.
The embodiment of the invention discloses a kind of electronlmobil continual mileage evaluation method, may further comprise the steps:
1.1, obtain the path of planning and the microcosmic traffic state in this path future according to the departure place of setting, destination and time of departure;
1.2, based on obtain by second speed, acceleration calculation generalized variable;
1.3, choose the electric car electric energy rate of consumption model of having set up according to different driving cycles, in conjunction with the generalized variable that calculates, calculate by second power consumption;
1.4, obtain the dump energy of current battery, the dump energy of counting cell in conjunction with the power consumption of vehicle, obtains remaining mileage through cycle calculations.
Further, as preferably, described generalized variable comprises: traffic behavior, road grade, battery-driven car weight, Windshield and rolling resistance, A=f (V, a, grade, m, S, C), wherein, A is a generalized variable; V is the electronlmobil momentary velocity; A is the electronlmobil instantaneous acceleration; Grade is the gradient; M is the electronlmobil quality; S is the electronlmobil area that keeps out the wind; C is a rolling resistance.
Further, as preferably, described driving cycle comprises accelerating mode, decelerating mode, at the uniform velocity operating mode and idling operation.
Further, as preferably, electric car electric energy rate of consumption model establishment step is as follows in the described step 1.3:
4.1, introduce generalized variable, this generalized variable is synthesizing of traffic behavior, road grade, electronlmobil weight and the formal parameter parameter that influence electric energy; Based on the electronlmobil that obtains in advance by second speed, acceleration/accel, road grade, weight etc., calculate the generalized variable value of per second and the power consumption of per second; A=f (V, a, grade, m, S, C), wherein, A is a generalized variable; V is the electronlmobil momentary velocity; A is the electronlmobil instantaneous acceleration; Grade is a road grade; M is the electronlmobil quality; S is the electronlmobil area that keeps out the wind; C is the electronlmobil rolling resistance;
4.2, parameter attribute is divided into accelerating mode, decelerating mode, four kinds of patterns such as operating mode, idling operation at the uniform velocity with vehicle driving-cycle according to travelling;
4.3, under the different operating modes that obtain according to statistics by second generalized variable and pairing power consumption, the method for utilization statistical regression is set up the final electric car electric energy rate of consumption model based on generalized variable.
The present invention is directed to actual running state of the vehicle, divide different vehicle driving-cycles.And, set up the electric car electric energy rate of consumption model under the different operating modes based on the generalized variable of taking all factors into consideration power consumption influence factors such as traffic behavior, road grade, electronlmobil weight and formal parameter.Based on power consumption rate model, consider the influence that the actual traffic state parameter consumes electric car electric energy, a kind of evaluation method of driving electronlmobil continual mileage has been proposed, the power consumption characteristics of electronlmobil in following real road environment can be described more meticulously, more accurately estimate the continual mileage of electronlmobil, and then select reasonably the trip route, electronlmobil charged guarantee is provided in time for chaufeur.
Description of drawings
When considered in conjunction with the accompanying drawings, by the reference following detailed, can more completely understand the present invention better and learn wherein many attendant advantages easily, but accompanying drawing described herein is used to provide further understanding of the present invention, constitute a part of the present invention, illustrative examples of the present invention and explanation thereof are used to explain the present invention, do not constitute to improper qualification of the present invention, wherein:
Fig. 1 is the diagram of circuit of the electronlmobil continual mileage evaluation method that provides of present embodiment.
Fig. 2 is the diagram of circuit that the continual mileage that provides of present embodiment calculates.
The specific embodiment
With reference to Fig. 1-2 embodiments of the invention are described.
For above-mentioned purpose, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
The electronlmobil continual mileage method of estimation that present embodiment provides, its flow process may further comprise the steps as shown in Figure 1:
S1, obtain the path of planning and the microcosmic traffic state (as traffic behavior) in this path future according to the departure place of setting, destination and time of departure in conjunction with traffic behavior historical data base and following this path planning of current traffic behavior prediction, be second speed V that pursues of electronlmobil, unit is m/s, by a second acceleration/accel a, unit is m/s
2
S2, calculate generalized variables (being example with self-propelled vehicle specific power (VSP) in this example) by second speed, acceleration/accel etc. based on what obtain, this variable combine traffic behavior, road grade,
Battery-driven car weight and Windshield etc. influence the factor that electric car electric energy consumes;
Wherein, V is the electronlmobil momentary velocity, km/h; A is the electronlmobil instantaneous acceleration, m/s
2G is an acceleration due to gravity, gets 9.81m/s
2Grade is a road grade, dimensionless; C
R---coefficient of rolling resistance, dimensionless gets 0.0135; ρ
σBe density of air, get 1.207kg/m in the time of 20 ℃
3C
DBe air resistance coefficient, dimensionless; S is a cross-sectional area before the vehicle, m
2M is a car weight, kg, wherein (C
D* S)/m integral body is taken as 0.0005.
S3, according to speed (V) and acceleration/accel (a) to motoring condition being divided into different driving cycles, and with the corresponding electric car electric energy rate of consumption of generalized variable substitution model, calculate by second power consumption e, unit is J/s;
Wherein, work as V〉0, a 〉 0 o'clock, motoring condition was an accelerating mode, shown in model is specific as follows: e
Ac=-62.96VSP
2+ 2271VSP+788.3;
Work as V〉0, a<0 o'clock, motoring condition is a decelerating mode, shown in model is specific as follows:
e
de=0.007·VSP
5+0.554·VSP
4+15.05·VSP
3+173.2·VSP
2+747.2·VSP+2518;
Work as V〉0, during a=0, motoring condition is operating mode at the uniform velocity, shown in model is specific as follows:
e
cr=-10.80·VSP
2+2047·VSP+1052;
Work as V=0, during a=0, motoring condition is an idling operation, shown in model is specific as follows:
e
id=1439.73w。
S4, obtain the remaining capacity SOC of current battery
r, according to SOC
rWith power consumption rate e, S5, process cycle calculations obtain remaining mileage S, and unit is km.Calculation process as shown in Figure 2.
S31, acquisition electronlmobil remaining capacity SOC
r
S32, divide different time slices according to speed and acceleration/accel;
S33, extract i time slice by generalized variable value second;
The power consumption E of S34, i time slice of calculating
i=e
i* t
i, S
i=V
i* t;
S35, judgement
Whether set up, if set up, S36, then calculating
S=S+S, i=i+1 jumps to S33; If be false, then carry out S37, continual mileage journey
Wherein, power consumption rate model is set up by the following method among the step S3:
1) introduce generalized variable (being example with self-propelled vehicle specific power (VSP) in this example), this variable combines traffic behavior, road grade, battery-driven car weight and Windshield etc. influences the factor that electric car electric energy consumes.
Wherein, V is the electronlmobil momentary velocity, km/h; A is the electronlmobil instantaneous acceleration, m/s
2G is an acceleration due to gravity, gets 9.81m/s
2Grade is a road grade, dimensionless; C
R---coefficient of rolling resistance, dimensionless gets 0.0135; ρ
σBe density of air, get 1.207kg/m in the time of 20 ℃
3C
DBe air resistance coefficient, dimensionless; S is a cross-sectional area before the vehicle, m
2M is a car weight, kg, wherein (C
D* S)/m integral body is taken as 0.0005.
2) based on the instantaneous electric automobile during traveling data that obtain in advance, the VSP(unit of calculating per second is kw/t), form basic database in conjunction with cooresponding per second power consumption rate.
3) based on different speed, acceleration/accel vehicle ' is divided into accelerating mode, decelerating mode, at the uniform velocity operating mode and idling operation.
4) obtain generalized variable and cooresponding power consumption rate under the different operating modes according to statistics, the utilization regression model is determined the electric car electric energy rate of consumption model of final generalized variable, power consumption rate e, and unit is J/s;
Accelerating mode: e
Ac=-62.96VSP
2+ 2271VSP+788.3
Decelerating mode:
e
de=0.007·VSP
5+0.554·VSP
4+15.05·VSP
3+173.2·VSP
2+747.2·VSP+2518
Operating mode: e at the uniform velocity
Cr=-10.80VSP
2+ 2047VSP+1052
Idling operation: e
Id=1439.73w.
Though more than described the specific embodiment of the present invention, but those skilled in the art is to be understood that, these specific embodiment only are casehistorys, those skilled in the art can carry out various omissions, replacement and change to the details of said method and system under the situation that does not break away from principle of the present invention and essence.For example, merge the said method step, then belong to scope of the present invention to realize the identical result of essence thereby carry out the essence identical functions according to the identical method of essence.Therefore, scope of the present invention is only limited by appended claims.
Claims (4)
1. an electronlmobil continual mileage evaluation method is characterized in that, may further comprise the steps:
1.1, obtain the path of planning and the microcosmic traffic state in this path future according to the departure place of setting, destination and time of departure;
1.2, based on obtain by second speed, acceleration calculation generalized variable;
1.3, choose the electric car electric energy rate of consumption model of having set up according to different driving cycles, in conjunction with the generalized variable that calculates, calculate by second power consumption;
1.4, obtain the dump energy of current battery, the dump energy of counting cell in conjunction with the power consumption of vehicle, obtains remaining mileage through cycle calculations.
2. according to the described electronlmobil continual mileage of claim 1 evaluation method, it is characterized in that described generalized variable comprises: traffic behavior, road grade, battery-driven car weight, Windshield and rolling resistance, A=f (V, a, grade, m, S, C), wherein, A is a generalized variable; V is the electronlmobil momentary velocity; A is the electronlmobil instantaneous acceleration; Grade is the gradient; M is the electronlmobil quality; S is the electronlmobil area that keeps out the wind; C is a rolling resistance.
3. according to the described electronlmobil continual mileage of claim 1 evaluation method, it is characterized in that described driving cycle comprises accelerating mode, decelerating mode, at the uniform velocity operating mode and idling operation.
4. according to the described electronlmobil continual mileage of claim 1 evaluation method, it is characterized in that electric car electric energy rate of consumption model establishment step is as follows in the described step 1.3:
4.1, introduce generalized variable, this generalized variable is synthesizing of traffic behavior, road grade, electronlmobil weight and the formal parameter parameter that influence electric energy; Based on the electronlmobil that obtains in advance by second speed, acceleration/accel, road grade, weight etc., calculate the generalized variable value of per second and the power consumption of per second; A=f (V, a, grade, m, S, C), wherein, A is a generalized variable; V is the electronlmobil momentary velocity; A is the electronlmobil instantaneous acceleration; Grade is a road grade; M is the electronlmobil quality; S is the electronlmobil area that keeps out the wind; C is the electronlmobil rolling resistance;
4.2, parameter attribute is divided into accelerating mode, decelerating mode, four kinds of patterns such as operating mode, idling operation at the uniform velocity with vehicle driving-cycle according to travelling;
4.3, under the different operating modes that obtain according to statistics by second generalized variable and pairing power consumption, the method for utilization statistical regression is set up the final electric car electric energy rate of consumption model based on generalized variable.
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