Method for Selecting an Optimized Tire Configuration for a Road Vehicle Such as a Racing Car or Motorcycle

• US 20100318335A1
• Filed: 12/20/2007
• Published: 12/16/2010
• Est. Priority Date: 12/26/2006
• Status: Active Grant

• Current Assignee: Michelin Recherche et Technique SA (Compagnie Generale DES Etablissements Michelin SCA)
• Original Assignee: Michelin Recherche et Technique SA (Compagnie Generale DES Etablissements Michelin SCA)
• Inventors: Zivkovic, Tony, Martin, Hervé
• Granted Patent: US 8,386,223 B2
• Time in Patent Office: Days
• US Class Current: 703/8
• CPC Class Codes: B60C 99/006 Computer aided tyre design or simulation
• CPC Class Codes: G06F 30/15 Vehicle, aircraft or watercraft design
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

A method for selecting, from a set of possible configurations, an optimized tire configuration for fitting a vehicle intended to run on a circuit following a predefined route, oriented in a single course direction (SU) and including bends. This method comprises: developing a physical model of the vehicle fitted with a first tire configuration; simulating the route course by the modeled vehicle, optimizing the speed of said vehicle; storing in memory the course time taken by the vehicle to cover the route at least once; comparing the course time to at least one reference time and producing a comparison result; and optionally selecting the first configuration at the optimized configuration as a function of the comparison result.

Claims

1. A method for selecting, from a set of possible configurations, an optimized tire configuration for fitting a vehicle intended to run on a circuit following a predefined route, oriented in a single course direction and including bends, said method comprising the steps of:

developing a physical model of the vehicle fitted with a first tire configuration;

dividing a digital image of the route into successive segments by connecting at points with associated vehicle speed limit values;

simulating, in iterations, the course by the modeled vehicle, of each route segment, firstly at maximum acceleration on portions of route taken successively in the actual course direction and belonging to a first segment portion including an initial point of said segment, and at maximum deceleration on route portions taken successively upstream from each other and belonging to a second segment portion including an end point of said segment, and connecting the first and second segment portions at a point of the segment where the speed of the modeled vehicle on the first portion of said segment does not exceed the speed of the modeled vehicle on the second portion of said segment;

storing in memory the course time taken by the vehicle to cover the route at least once;

comparing the course time to at least one reference time and producing a comparison result; and

optionally selecting the first configuration at the optimized configuration as a function of the comparison result.

2. The method according to claim 1, wherein the vehicle model includes a thermomechanical model of the tires fitted in the vehicle.

3. The method according to claim 1, further comprising the steps of:

(a) inventorying a set of physical parameters tending to limit the speed adopted by the vehicle on the route, said set comprising constant parameters and dynamic parameters, said parameters being linked with the different possible tires, vehicle chassis and/or driving conditions, and including a digital image of the route, consisting of digitized coordinates of successive points of said route;

(b) developing a tire model describing the physical behavior of each tire and involving a first subset of the set of physical parameters;

(c) developing a vehicle model involving both the tire model and a second subset of the set of physical parameters, and describing the physical behavior of the vehicle as a function at least of tire stresses, said stresses comprising slips and drifts;

(d) dividing the digital image of the route into adjacent successive segments in the course direction, each comprising a set of at least three route points including an initial point and an end point of said segment in succession in this order in the course direction, the end point being located in an incoming bend;

(e) respectively associating vehicle speed limit values with the initial and end points of each segment;

(f) selecting, as the active configuration, a first tire configuration;

(g) selecting, as the active segment, a first route segment;

(h) simulating, by means of the vehicle model, the course of at least a first portion of the active route segment, from the initial point thereof, by the vehicle fitted with the active tire configuration, by optimizing the tire stresses to maximize the acceleration applied to the vehicle from the limit speed associated with the initial point of said active segment;

(i) storing in memory the vehicle speeds with the various points of the first portion of the active segment and the course times between said different points;

(j) selecting, as the active section of the active segment, the route portion defined between a first and second point of a pair of points of the active segment in succession in this order in the course direction, the second point of said pair consisting of the end point of the active segment;

(k) selecting, as the target speed, the limit speed associated with the second point of the active section;

(l) simulating, by means of the vehicle model, the course of the active section of the active segment by the vehicle fitted with the active tire configuration, by optimizing the tire stresses and the speed adopted by the vehicle at the first point of the active section to reach the second point of the active section at the target speed, while minimizing the course time on said active section;

(m) storing in memory the course time of the active section by the vehicle;

storing in memory, as the limit speed, the vehicle speed at the first point of the active section; and

storing in memory, as an element of a second portion of the active segment, the active section covered;

(n) verifying whether the vehicle limit speed at the first point of the active section exceeds the speed stored in memory in step (i) or not, which is adopted at the same point by the vehicle during the course of the first portion of the active segment;

(o) if this is not the case, selecting, as a new active section of the active segment, a route portion located upstream, with respect to the course direction, from the chronologically previous active section, and defined between a first and a second point of a pair of points of the active segment in succession in this order in the course direction, the second point of said pair consisting of the first point of the chronologically previous active section, and repeating steps (k) to (n);

(p) if this is the case, storing in memory, as the total course time of the active segment, the sum of the total course time on the second part of said active segment and the course times stored in memory on the fraction of the first portion of said segment not overlapping with the second portion;

(q) selecting, as the new active segment, the route segment following the previously active segment in the course direction; and

(r) repeating steps (h) to (q) until the route is covered at least once and a cumulative and stabilized course time by the vehicle is obtained.

4. The method according to claim 3, further comprising the steps of:

(s) selecting, as the new active configuration, a second tire configuration;

(t) repeating steps (g) to (r);

(u) comparing the cumulative and stabilized route times, respectively obtained with the first and second tire configuration; and

(v) selecting, as the optimized configuration, the tire configuration resulting in the shortest cumulative and stabilized course time of the route, the course time obtained with each tire configuration thus serving as the reference time for the course time obtained with the other tire configuration.

5. The method according to claim 3, wherein the tire model is a thermomechanical model, wherein step (j) is preceded by a step (w0) consisting of selecting, as active thermal conditions, predefined thermal conditions, wherein step (l) is performed by applying the active thermal conditions to the tires, wherein step (m) includes the further basic operation consisting of storing in memory the tire stresses on each active section, and wherein step (p) is immediately preceded by an iteration loop comprising the steps of:

(w1) in the event of a successful verification performed in step (n), simulating by means of the vehicle model the course by said vehicle fitted with the active tire configuration, active section after active section in the course direction, of the second portion of the active segment, by applying to the tires on each active section the stresses stored in memory in step (m) for said active section, and deducing new thermal conditions of use of the tires on the second portion of the active segment;

(w2) verifying whether the difference between the new thermal conditions and the active thermal conditions is within a convergence limit or not; and

(w3) if this is not the case, storing in memory, as the active thermal conditions, the new thermal conditions and repeating steps (j) to (w2).

6. The method according to claim 3, wherein step (d) is implemented by setting the end point of each segment to the maximum curvature of a bend.

7. The method according to claim 3, comprising a further operation, implemented for each new course of the route and consisting of moving the end point of each segment upstream, in the direction of a zone having less tire slip.

8. The method according to claim 3, wherein the tire model developed in step (b) describes the physical behavior of each tire fitted on the vehicle when driving on the ground, wherewith the tire tread has a contact area including at least one adherent contact zone and at least one slippery contact zone, wherein step (b) comprises at least modeling operations, wherein each simulation step (h, l, w1) comprises digital value allocation operations and resolution operations, wherein the modeling operations consist at least of defining, by applying physical laws that are known and/or constructed by specific experimentation, and as the first model, a model of the longitudinal forces (Fx), transversal forces (Fy) and a self-alignment torque (Mz), transmitted by the tire between the ground and the vehicle, as a function of specific physical parameters, including an adherence coefficient and a shear modulus of the tire rubber, and as a function of dynamic parameters associated with the physical driving and usage conditions of the tire, the self-alignment torque being linked with the intensity of the longitudinal and transversal forces and the distribution thereof in the contact area, the allocation operations consisting at least of attributing (4) digital values to the dynamic parameters and the specific parameters (5), and the resolution operations consisting at least of deducing, using at least the first model and the values attributed to the dynamic parameters and the specific physical parameters, the values of the longitudinal forces (Fx), transversal forces (Fy), and the self-alignment torque (Mz), wherein the modeling operations also comprise the definition, as the second model, of a local heating model expressing variations of a contact temperature of the tread with the ground from the entrance to the exit of the contact area following contact and slip of the tread with the ground, and the definition, as the third model, of an overall heating and thermal flow model, said third model expressing variations, over a period of at least one revolution, of a peripheral temperature of the tread and an internal temperature of the tire as a function of previously known or estimated values of the peripheral and internal temperatures, a thermal conduction coefficient of the tread, and thermodynamic component phenomena such as internal deformations experienced by the tire, heat exchanges between the tire and the environment thereof, and slip of the tread on the ground, wherein at least the adherence coefficient and the shear modulus are involved in the first model as variables or functions of the peripheral temperature and internal temperature, wherein the peripheral temperature value (Ts), obtained by means of resolution operations relating to the third model, is used by resolution operations relating to the second model to account for the temperature dependency of the adherence coefficient, and in that wherein the internal temperature value (Ti), obtained by means of resolution operations relating to the third model, is used by resolution operations relating to the first model to account for the temperature dependency of the shear modulus of the tire rubber.

9. The method according to claim 8, wherein the first model includes equations associated with the equilibrium conditions of the basic shearing and slipping forces of the tread in the contact area, wherein said method comprises at least one iterative calculation phase consisting of a succession of calculation cycles, and wherein each calculation cycle comprises at least one resolution operation relating to the second model.

10. The method according to claim 9, wherein the first model is defined by considering that the contact area comprises a single adherent contact zone and a single slippery contact zone separated from each other by a transition point, wherein the first model takes the form of a system of equations expressed at least as a function of the dynamic parameters, specific parameters, and the abscissa (b) of the transition point, wherein each iterative phase is dedicated to phenomena occurring during a corresponding basic time interval, and wherein each iterative phase is implemented to resolve, by means of successive approximations and at least on the basis of previously known or estimated values of the abscissa (bo) of the transition point, transversal forces (Fyo), and the self-alignment torque (Mzo), new values of the abscissa (b) of the transition point, transversal forces (Fy), and the self-alignment torque (Mz) which resolve the system of equations of the first model for the value attributed to the dynamic parameters and the specific parameters, with the result that the longitudinal forces, transversal forces, and the self-alignment torque of the tire may be calculated in real time during the driving of the vehicle.

11. The method according to claim 10, wherein each new calculation cycle of each iterative phase comprises operations comprising:

calculating a new provisional value of the abscissa of the transition point on the basis of the equilibrium equations of the basic forces and the previously known or estimated values of the transversal forces and the self-alignment torque;

calculating, on the basis of the new provisional value of the abscissa of the transition point and the equations linking the transversal forces and the self-alignment torque with the dynamic parameters, specific parameters, and the abscissa of the transition point, new values of the transversal forces and the self-alignment torque that can be used for any subsequent calculation cycle;

conditionally interrupting said iterative phase at least when the difference between the new provisional value of the abscissa of the transition point and the previously known or estimated value of said abscissa is less than a predefined limit of precision; and

when said iterative phase is interrupted, assigning the longitudinal and transversal forces and the self-alignment torque, as the values for this phase, the new values of the longitudinal and transversal forces and the self-alignment torque obtained in the final calculation cycle.

12. The method according to claim 10, further comprising an implementation operation after the end of each iterative phase and comprising updating the dynamic parameters to account for the variations experienced by said parameters during the iterative phase execution time, and initiating a new iterative phase.

13. The method according to claim 8, wherein the resolution operations relating to the third model are performed outside each iterative phase.

14. The method according to claim 8, wherein each of the first, second and third models are processed for each tire and associated with a dynamic chassis model, wherein the chassis model provides the first, second and third models, for each tire, with the values of at least some of the dynamic parameters, and wherein the chassis model processes, for each tire, the values of the longitudinal forces, transversal forces and the self-alignment torque obtained using the first, second and third models.