阅读说明：本技术 一种电动菱形汽车跟车转矩分配方法 (Electric diamond automobile following torque distribution method ) 是由 黄晋 胡展溢 苏炎召 宫新乐 江昆 杨殿阁 钟志华 于 2021-02-25 设计创作，主要内容包括：本发明提出一种电动菱形汽车跟车转矩分配方法包括以下步骤：步骤S1：通过感知设备获取前车行驶信息；步骤S2：通过传感器获得当前车辆行驶信息并计算各车轮滑移率；步骤S3：通过所述前车行驶信息和各车轮滑移率计算各电机最优的输入转矩；步骤S4：电动菱形汽车依据所述各电机最优的输入转矩,驱动车辆进行跟车行为。本发明所提出的转矩分配策略可提升电动菱形汽车在跟车工况下的经济性；并充分考虑了菱形的车轮布置形式,让每个轮胎都能充分利用其路面附着系数。(The invention provides a method for distributing following torque of an electric diamond automobile, which comprises the following steps: step S1: acquiring the running information of a front vehicle through sensing equipment; step S2: obtaining current vehicle running information through a sensor and calculating the slip rate of each wheel; step S3: calculating the optimal input torque of each motor according to the running information of the front vehicle and the slip ratio of each wheel; step S4: and the electric rhombic automobile drives the automobile to follow the automobile according to the optimal input torque of each motor. The torque distribution strategy provided by the invention can improve the economy of the electric diamond automobile under the following working condition; and the arrangement form of the diamond wheels is fully considered, so that each tire can fully utilize the road adhesion coefficient.)

1. The electric diamond automobile following torque distribution method is characterized by comprising the following steps:

step S1: acquiring the running information of a front vehicle through sensing equipment;

step S2: obtaining current vehicle running information through a sensor and calculating the slip rate of each wheel;

step S3: calculating the optimal input torque of each motor according to the running information of the front vehicle and the slip ratio of each wheel;

step S4: the electric rhombic automobile drives the automobile to follow the automobile according to the optimal input torque of each motor;

wherein the preceding vehicle running information comprises the speed v of the preceding vehicle_preAcceleration a of the front vehicle_preAnd a distance deltax from the leading vehicle.

2. The following torque distribution method according to claim 1, further comprising, in step S2, the steps of:

step S21: obtaining wheel driving information through a self-vehicle sensing device, wherein the wheel driving information comprises a vertical force F borne by the ith wheel_ziCurrent torque T_diAngular velocity omega_iAnd wheel center longitudinal velocity u_i；

Step S22: calculating the current road adhesion coefficient mu of the ith wheel_iAccording to said current road adhesion coefficient mu_iJudging whether the current road surface condition belongs to a dry road surface, a wet road surface and a snow covered road surface;

step S23: determining the slip rate-adhesion coefficient of the tire according to the current road surface condition, and acquiring the expected slip rate lambda corresponding to the maximum road surface adhesion coefficient of the ith wheel from the slip rate-adhesion coefficient_d，i；

Step S24: calculating the current slip ratio lambda of the ith wheel_i；

Step S25: the current slip ratio lambda is measured_iAnd desired slip ratio lambda_a，iInput to the torque distribution calculation module.

3. The following torque distribution method according to claim 1, further comprising, in step S3, the steps of:

step S31: the torque distribution calculation module acquires vehicle running information through the vehicle-mounted sensing equipment, wherein the vehicle running information comprises the speed v of the vehicle_egoAcceleration a of bicycle_egoThe rotation speed omega of the jth motor_EMjAnd the current battery SOC value;

step S32: establishing vehicle-mounted battery modelAnd calculates the vehicle-mounted battery modelMotor torque T with three motors_EMjThe relationship between;

step S33: combining the complete vehicle kinematics relationship with the vehicle-mounted battery modelThe continuous system is discretized using a zero order keeper,obtaining a state equation of a discrete time car following system;

step S34: cost function J defining a torque distribution optimization problem_optAnd obtaining the cost function J_optAnd following cost function J_ACCEconomic cost function J_EcoAnd a cost function of slip J_StaThe relationship between;

step S35: defining state constraints for a torque distribution optimization problem;

step S36: the state equation of the discrete time car following system and the cost function J are obtained_optForming a predictive control problem with a constraint model by the state constraint, and solving the predictive control problem in real time by using a dynamic programming method to obtain the optimal input torque of each motor at the next moment;

step S37: and inputting the optimal input torque of each motor into the whole vehicle module.

4. The following torque distribution method according to claim 2, wherein in step S22, the current road adhesion coefficient μ of the i-th wheel_iComprises the following steps:

wherein, I_iIs the moment of inertia of the i-th wheel, R_iIs the rolling radius of the ith wheel.

5. The following torque distribution method according to claim 2, wherein in step S24, the current slip ratio λ of the i-th wheel_iComprises the following steps:

wherein u is_iIs the absolute speed of the ith wheel; u. of_ilIs the absolute speed u of each wheel_iRespectively to the tire coordinate system1-axis projection of (1); tyre coordinate systemThe origin of (a) is the intersection point of the intersection line of the wheel plane and the ground plane and the projection line of the wheel rotation axis on the ground plane, the axis I is the intersection line of the wheel plane and the ground plane and is defined to be positive forwards, and the axis q is on the ground plane and is directed to the left perpendicular to the axis I to be positive.

6. The following torque distribution method according to claim 3, wherein in step S32, the vehicle-mounted battery modelComprises the following steps:

wherein, V_batIs the open loop voltage of the battery, which is a constant value; r_batIs the internal resistance of the battery, and is a constant value; q_batThe battery capacity is constant; p_batFor battery power, the expression is as follows:

P_bat＝P_bat，1+P_bat，2+P_bat，3

wherein, P_bat，1、P_bat，2、P_bat，3The power of three motors is represented respectively, and the power of each motor can be expressed as follows:

P_bat，j＝T_EMj·η_EMj j＝1，2，3

wherein, T_EMjIs the motor torque; eta_EMjThe motor efficiency is constant.

7. The following torque distribution method according to claim 3, wherein in step S33, the discrete-time following system state equation is:

v_ego(k+1)＝v_ego(k)+a_ego(k)·δ₀

where k represents the time k, k +1 represents the next time k, the interval δ between the two₀Is a constant value. (k) Represents the value of a certain parameter at the moment k, and (k +1) represents the value of a certain parameter at the moment k + 1.

8. The following torque distribution method according to claim 3, wherein in step S34, the cost function J_optComprises the following steps:

J_opt＝J_ACC+γ₁J_Eco+γ₂J_Sta

wherein, J_ACCRepresenting the following cost function, J_EcoAs a function of economic cost, J_StaAs a function of the cost of slip, gamma₁And gamma₂Is a positive constant value and represents a weight coefficient;

the following cost function J_ACCThe specific definition is as follows:

wherein k is₁And k₂Is a positive constant value and represents a weight coefficient; t is t_fIs a prediction time domain, is a constant; Δ v is the vehicle speed difference, Δ a is the speed difference; the vehicle speed difference Δ v and the acceleration difference Δ a are respectively defined as follows:

Δv＝v_pre-v_ego

Δa＝0.25Δv+0.02Δx

the economic cost function J_EcoThe specific definition is as follows:

J_Eco＝1-SOC

where SOC represents the electrical energy storage of the battery, which is defined as follows:

said cost function of slip J_StaThe specific definition is as follows:

9. the following torque distribution method according to claim 3, wherein in step S35, the state constraint is:

Δx^min≤Δx≤Δx^max

wherein the content of the first and second substances,andis the rotational speed omega_EMjLower minimum and maximum torque;andthe minimum and maximum acceleration of the bicycle is constant; Δ x^minAnd Δ x^maxThe minimum and maximum vehicle distance are constant values.

Technical Field

The invention relates to the technical field of electric diamond-shaped vehicles, in particular to a vehicle following torque distribution method of an electric diamond-shaped vehicle.

Background

One recent design issue for electric vehicles is how to reduce energy consumption in following operations, and diamond-shaped electric vehicles have a greater potential in energy conservation than conventional electric vehicles. The diamond-shaped automobile has a streamlined head, so that air resistance can be greatly reduced, but the diamond-shaped electric automobile has the problem of how to reasonably distribute driving torque, so that the motor efficiency is improved as much as possible and the running performance is ensured under the condition that the total required torque is constant, and the energy consumption is reduced.

From the research subjects, the existing research torque distribution strategy mainly aims at the traditional electric vehicles, including four-wheel independent drive vehicles, double-shaft drive vehicles and single-shaft drive vehicles, and the methods are not suitable for diamond-shaped electric vehicles with three shafts. From the perspective of a torque distribution method, torque distribution is performed by partially researching a strategy based on rules, and the method cannot achieve the optimal energy-saving effect; in other part, the strategy of correcting after pre-distribution is researched, the method focuses on correcting according to the tire adhesion coefficient, and the economy of the torque distribution strategy is not considered; other studies have failed to adequately account for the fusion of torque distribution strategies with other vehicle behaviors.

In summary, existing electric vehicle torque distribution strategies focus primarily on single vehicles, and there is less research on the fusion of torque distribution strategies with other vehicle behaviors. In addition, the existing research is basically directed to the conventional electric vehicle, so the torque distribution strategy of the electric diamond vehicle needs to be solved.

Disclosure of Invention

The invention provides a car following torque distribution method of an electric diamond car, which gives consideration to car following performance, economic performance, comfort performance and safety performance.

The invention provides a following torque distribution method of an electric diamond automobile, which is characterized by comprising the following steps of:

step S1: acquiring the running information of a front vehicle through sensing equipment;

step S2: obtaining current vehicle running information through a sensor and calculating the slip rate of each wheel;

step S3: calculating the optimal input torque of each motor according to the running information of the front vehicle and the slip ratio of each wheel;

step S4: the electric rhombic automobile drives the automobile to follow the automobile according to the optimal input torque of each motor;

wherein the preceding vehicle running information comprises the speed v of the preceding vehicle_preAcceleration a of the front vehicle_preAnd a distance deltax from the leading vehicle.

Further, in step S2, the method further includes the steps of:

step S21: obtaining wheel driving information through a self-vehicle sensing device, wherein the wheel driving information comprises a vertical force F borne by the ith wheel_ziCurrent torque T_diAngular velocity omega_iAnd wheel center longitudinal velocity u_i；

Step S22: calculating the current road adhesion coefficient mu of the ith wheel_iAccording to said current road adhesion coefficient mu_iJudging whether the current road surface condition belongs to a dry road surface, a wet road surface and a snow covered road surface;

step S23: determining the slip rate-adhesion coefficient of the tire according to the current road surface condition, and acquiring the expected slip rate lambda corresponding to the maximum road surface adhesion coefficient of the ith wheel from the slip rate-adhesion coefficient_d,i；

Step S24: calculating the current slip ratio lambda of the ith wheel_i；

Step S25: the current slip ratio lambda is measured_iAnd desired slip ratio lambda_d,iInput to the torque distribution calculation module.

Further, in step S3, the method further includes the steps of:

step S31: the torque distribution calculation module acquires vehicle running information through the vehicle-mounted sensing equipment, wherein the vehicle running information comprises the speed v of the vehicle_egoAcceleration a of bicycle_egoJth, jRotational speed omega of an electric machine_EMjAnd the current battery SOC value;

step S32: establishing vehicle-mounted battery modelAnd calculates the vehicle-mounted battery modelMotor torque T with three motors_EMjThe relationship between;

step S33: combining the complete vehicle kinematics relationship with the vehicle-mounted battery modelDiscretizing the continuous system by using a zero-order retainer to obtain a state equation of a discrete time following system;

step S34: cost function J defining a torque distribution optimization problem_optAnd obtaining the cost function J_optAnd following cost function J_ACCEconomic cost function J_EcoAnd a cost function of slip J_StaThe relationship between;

step S35: defining state constraints for a torque distribution optimization problem;

step S36: the state equation of the discrete time car following system and the cost function J are obtained_optForming a predictive control problem with a constraint model by the state constraint, and solving the predictive control problem in real time by using a dynamic programming method to obtain the optimal input torque of each motor at the next moment;

step S37: and inputting the optimal input torque of each motor into the whole vehicle module.

Further, in step S22, the current road surface adhesion coefficient μ of the i-th wheel_iComprises the following steps:

wherein, I_iIs the moment of inertia of the i-th wheel, R_iIs the rolling radius of the ith wheel.

Further, in step S24, the current slip ratio λ of the i-th wheel_iComprises the following steps:

wherein u is_iIs the absolute speed of the ith wheel; u. of_ilIs the absolute speed u of each wheel_iRespectively to the tire coordinate systemProjection of the l axis; tyre coordinate systemThe origin of (a) is the intersection point of the intersection line of the wheel plane and the ground plane and the projection line of the wheel rotation axis on the ground plane, the axis I is the intersection line of the wheel plane and the ground plane and is defined to be positive forwards, and the axis q is on the ground plane and is directed to the left perpendicular to the axis I to be positive.

Further, in step S32, the vehicle-mounted battery modelComprises the following steps:

wherein, V_batIs the open loop voltage of the battery, which is a constant value; r_batIs the internal resistance of the battery, and is a constant value; q_batThe battery capacity is constant; p_batFor battery power, the expression is as follows:

P_bat＝P_bat,1+P_bat,2+P_bat,3

wherein, P_bat,1、P_bat,2、P_bat,3The power of three motors is represented respectively, and the power of each motor can be expressed as follows:

P_bat,j＝T_EMj·η_EMjj＝1,2,3

wherein, T_EMjIs the motor torque; eta_EMjThe motor efficiency is constant.

Further, in step S33, the discrete-time following system state equation is:

where k represents the time k, k +1 represents the next time k, the interval δ between the two₀Is a constant value. (k) Represents the value of a certain parameter at the moment k, and (k +1) represents the value of a certain parameter at the moment k + 1.

Further, in step S34, the cost function J_optComprises the following steps:

J_ppt＝J_ACC+γ₁J_Eco+γ₂J_Sta

wherein, J_ACCRepresenting the following cost function, J_EcoAs a function of economic cost, J_StaAs a function of the cost of slip, gamma₁And gamma₂Is a positive constant value and represents a weight coefficient;

the following cost function J_ACCThe specific definition is as follows:

wherein k is₁And k₂Is a positive constant value and represents a weight coefficient; t is t_fIs a prediction time domain, is a constant; Δ v is the vehicle speed difference, Δ a is the speed difference; the vehicle speed difference Δ v and the acceleration difference Δ a are respectively defined as follows:

Δv＝v_pre-v_ego

Δa＝0.25Δv+0.02Δx

the economic cost function J_EcoThe specific definition is as follows:

J_Eco＝1-SOC

where SOC represents the electrical energy storage of the battery, which is defined as follows:

said cost function of slip J_StaThe specific definition is as follows:

further, in step S35, the state constraint is:

wherein the content of the first and second substances,andis the rotational speed omega_EMjLower minimum and maximum torque;andis the minimum and maximum of the bicycleAcceleration, constant; Δ x^minAnd Δ x^maxThe minimum and maximum vehicle distance are constant values.

The invention has the beneficial effects that:

the torque distribution strategy provided by the invention can improve the economy of the electric diamond automobile under the following working condition; and the arrangement form of the diamond wheels is fully considered, so that each tire can fully utilize the road adhesion coefficient.

The invention discusses the vehicle driving economy from the angle of the vehicle-mounted battery SOC, and is more in line with the actual scene, thereby having engineering application value.

According to the invention, a torque distribution strategy and vehicle following behavior are organically combined under the framework of model prediction control to form a common optimization target, so that the economy and the vehicle following performance of the vehicle can be effectively considered.

Drawings

Fig. 1 is a schematic flow chart of a method for allocating following torque of an electric diamond-shaped automobile according to an embodiment of the present invention.

Detailed Description

The technical solution of the present invention is further specifically described below by way of examples with reference to fig. 1.

As shown in the attached figure 1, the invention discloses a car following torque distribution method of an electric diamond-shaped car, which comprises the following steps:

step S1: acquiring the running information of a front vehicle through sensing equipment;

step S2: obtaining current vehicle running information through a sensor and calculating the slip rate of each wheel;

step S3: calculating the optimal input torque of each motor according to the running information of the front vehicle and the slip ratio of each wheel;

step S4: the electric rhombic automobile drives the automobile to follow the automobile according to the optimal input torque of each motor.

Specifically, in step S1, the front vehicle driving information sensing module of the electric diamond-shaped vehicle obtains the front vehicle driving information through the vehicle-mounted sensing device, where the front vehicle driving information includes the front vehicle speed v_preAcceleration a of the front vehicle_preAnd withAnd the distance delta x of the front vehicle, and the parameters of the running information of the front vehicle are input into the torque distribution calculation module.

In step S2, the diamond-shaped electric vehicle has a three-motor four-wheel structure, four wheels are arranged in a diamond shape with one wheel at the front and the other wheel at the middle, the front and the rear wheels are steering wheels, and the middle wheel is a driving wheel; the front wheel is a wheel 1, the middle wheel is a wheel 2 and a wheel 3, the rear wheel is a wheel 4, and the slip rate of each wheel is calculated according to the diamond-shaped electric vehicle and a dynamic model.

The method specifically comprises the following steps:

step S21: obtaining wheel running information through the self-vehicle sensing equipment, wherein the wheel running information comprises the vertical force F borne by the ith wheel_ziCurrent torque T_diAngular velocity omega_iAnd wheel center longitudinal velocity u_i。

Step S22: calculating the current road adhesion coefficient mu of the ith wheel_i；

Wherein, I_iIs the moment of inertia of the i-th wheel, R_iIs the rolling radius of the ith wheel. According to the current road surface adhesion coefficient mu_iAnd judging whether the current road surface condition belongs to a dry road surface, a wet road surface and a snow road surface.

Step S23: determining the slip rate-adhesion coefficient of the tire used by the diamond vehicle according to the current road condition table lookup, obtaining the slip rate corresponding to the maximum road adhesion coefficient of the ith wheel from the curve, and calling the slip rate as the expected slip rate lambda_d,iAt this slip ratio, the tire has the largest road adhesion coefficient under the current road surface conditions.

Step S24: calculating the current slip ratio of the ith wheel:

let u be the absolute velocity of the diamond vehicle centroid, u_x、u_yFor it is in the vehicle coordinate systemThe component (b); u. of_i(i ═ 1,2,3,4) are the diamond front, middle and rear wheel absolute speeds, respectively; alpha is alpha_iRespectively is the side deflection angle of the front wheel, the middle wheel and the rear wheel of the rhombus; delta₁And delta₄The turning angle of the front and rear wheels.

The side deflection angles of the wheels of the diamond-shaped vehicle are as follows:

the absolute speed u of each tire of the diamond vehicle_iRespectively to the tire coordinate systemHas the following projection:

u_il＝u_i·cosα_i

wherein the tire coordinate systemThe origin of (a) is the intersection point of the intersection line of the wheel plane and the ground plane and the projection line of the wheel rotation axis on the ground plane, the axis I is the intersection line of the wheel plane and the ground plane and is defined to be positive forwards, and the axis q is on the ground plane and is directed to the left perpendicular to the axis I to be positive.

Therefore, the slip ratio of each tire of the diamond vehicle is obtained as follows:

step S25: the current slip ratio lambda is measured_iAnd desired slip ratio lambda_d,iInput to the torque distribution calculation module.

In step S3, the method specifically includes the following steps:

step S31: the torque distribution calculation module acquires the vehicle running through the vehicle-mounted sensing equipmentRunning information including the speed v of the vehicle_egoAcceleration a of bicycle_egoThe rotation speed omega of the jth motor_EMjAnd the current time battery SOC value.

Step S32: establishing a vehicle-mounted battery model, which specifically comprises the following steps:

wherein, V_batThe open-loop voltage of the battery is a constant value and can be obtained by looking up a table through the current SOC value of the battery; r_batThe resistance in the battery is a constant value and can be obtained by looking up a table through the current SOC value of the battery; q_batThe battery capacity is constant; p_batFor battery power, the expression is as follows:

P_bat＝P_bat,1+P_bat,2+P_bat,3

wherein, P_bat,1、P_bat,2、P_bat,3The power of three motors is represented respectively, and the power of each motor can be expressed as follows:

P_bat,j＝T_EMj·η_EMjj＝1,2,3

wherein, T_EMjIs motor torque, η_EMjFor the efficiency of the motor, the constant value can be obtained by the torque T of the motor at the current moment_EMjWith the speed of rotation omega_EMjAnd (6) looking up a table to obtain.

Step S33: combining the complete vehicle kinematics relationship with the battery model in the step S32, discretizing the continuous system by using a zero-order retainer, and obtaining a state equation of the discrete time vehicle following system as follows:

where k represents the time k, k +1 represents the next time of k, twoThe interval delta of₀Is a constant value. (k) Represents the value of a certain parameter at the moment k, and (k +1) represents the value of a certain parameter at the moment k + 1.

Step S34: cost function J defining a torque distribution optimization problem_optIs concretely provided with

J_opt＝J_ACC+γ₁J_Eco+γ₂J_Sta

Wherein, J_ACCRepresenting the following cost function, J_EcoAs a function of economic cost, J_StaAs a function of the cost of slip, gamma₁And gamma₂Is a positive constant value and represents a weight coefficient.

Car following cost function J_ACCThe specific definition is as follows:

wherein k is₁And k₂Is a positive constant value and represents a weight coefficient; t is t_fIs a prediction time domain, is a constant; the vehicle speed difference Δ v and the acceleration difference Δ a are respectively defined as follows:

Δv＝v_pre-v_ego

Δa＝0.25Δv+0.02Δx

wherein v is_preThe speed of the front vehicle; v. of_egoThe speed of the bicycle;

economic cost function J_EcoThe specific definition is as follows:

J_Eco＝1-SOC

where SOC represents the electrical energy storage of the battery, which is defined as follows:

cost function of slip J_StaThe specific definition is as follows:

step S35: defining state constraints of a torque distribution optimization problem, in particular

Wherein the content of the first and second substances,andis the rotational speed omega_EMjThe lower minimum torque and the maximum torque can be obtained by table lookup, and the constraint is used for ensuring that the motor works in a reasonable interval;andthis constraint is used to ensure the comfort of the vehicle, at a constant value for minimum and maximum accelerations of the vehicle. Δ x^minAnd Δ x^maxThe minimum and maximum inter-vehicle distances are constant values, and the constraint is used for ensuring the safety and the efficiency of the following vehicles.

Step S36: the discrete time car following system state equation in the step S33, the cost function in the step S34 and the constraint in the step S35 form a prediction control problem with a constraint model, the problem is solved in real time by using a dynamic programming method, and the optimal input torque of each motor at the next moment is obtainedAnd

step S37: and (5) inputting the optimal input torque of each motor obtained in the step (S36) to the whole vehicle module.

Step S4: and the whole vehicle module of the electric diamond vehicle executes the optimal input torque of each motor obtained in the step S3, so that the vehicle is driven to follow the vehicle.

In one embodiment, the torque distribution of an electric diamond-shaped automobile is taken as an example:

(1) the front vehicle running information sensing module obtains the speed v of the front vehicle through the vehicle-mounted sensing equipment_preAcceleration a_preAnd the distance deltax from the front vehicle, and inputs these parameters to the torque distribution calculation module.

(2) The driving state estimating module firstly obtains partial self-vehicle parameters and then obtains the expected tire slip ratio lambda corresponding to the maximum road adhesion coefficient of the road surface where the ith wheel is located by utilizing the steps S22 and S23_d,iThen, the actual slip ratio of the ith wheel is calculated according to the step S24, and finally, the expected slip ratio and the actual slip ratio are input into the torque distribution calculation module.

(3) The torque distribution calculation module firstly obtains the speed v of the vehicle_egoAnd the necessary parameters are equal, an on-board battery model is established by using the step S32, the continuous system is discretized by using a zero-order retainer by using the step S33 in combination with the vehicle kinematic relationship and the battery model, and a state equation of the vehicle following system in discrete time is obtained. Subsequently, using steps S34 and S35, a cost function J of the torque distribution optimization problem is defined_optAnd the relevant state constraint of the optimization problem, so that a system state equation, an optimization cost function and the state constraint are provided, and the torque distribution problem is converted into a model predictive control problem. Next, the model predictive control problem formed by the state equation, the optimization cost function and the state constraint is solved by using step S36, and the solution method adopts a dynamic programming method. Thus, the optimal input torque of each motor at the next moment is obtained through solvingAndand inputting the result to the whole vehicle module.

(4) And the whole vehicle module of the electric diamond vehicle executes the optimal torque of each motor and drives the electric diamond vehicle to follow the vehicle.

Although the present invention has been described in terms of the preferred embodiment, it is not intended that the invention be limited to the embodiment. Any equivalent changes or modifications made without departing from the spirit and scope of the present invention also belong to the protection scope of the present invention. The scope of the invention should therefore be determined with reference to the appended claims.