Tyre wear rate estimation based on a dynamic tyre model
A method for controlling motion of a heavy-duty vehicle includes obtaining input data related to one or more tire parameters of a tire on the heavy-duty vehicle, estimating at least part of the one or more tire parameters based on the input data, configuring a tire model, wherein the tire model defines a relationship between tire wear rate and vehicle motion state, wherein the tire model is parameterized by the one or more tire parameters, estimating vehicle motion state, and controlling motion of the heavy-duty vehicle based on the tire model and on the vehicle motion state.
1 . A method for controlling motion of a heavy-duty vehicle, the method comprising
obtaining input data related to one or more tire parameters of a tire on the heavy-duty vehicle,
estimating at least part of the one or more tire parameters based on the input data,
configuring a tire model, wherein the tire model is parameterized by the one or more tire parameters,
estimating a vehicle motion state, and
controlling motion of the heavy-duty vehicle based on the tire model and on the vehicle motion state,
wherein the tire model defines a relationship between tire wear rate and vehicle motion state, and
wherein controlling motion of the heavy-duty vehicle based on the tire model and on the vehicle motion state comprises
estimating, based on the tire wear model, respective resulting tire wear rate from different control strategies for the vehicle motion state, and
selecting one of the different control strategies, wherein the selected control strategy is associated with an acceptably low tire wear.
2 . The method according to claim 1 , wherein the input data comprises input data from one or more sensors arranged to measure one or more parameters of the tire.
3 . The method according to claim 2 , wherein the one or more tire parameters comprise any of: tire pressure, tire temperature, tire strain, tire GPS position, weather, ambient temperature, and rain classification data.
4 . The method according to claim 1 , wherein the input data comprises data obtained from memory related to tire design.
5 . The method according to claim 4 , wherein the data related to tire design comprises any of: tire nominal dimension, tire structural characteristics, tire chemical composition, tire history.
6 . The method according to claim 1 , wherein the one or more estimated tire parameters comprise any of: tire wear, tire longitudinal stiffness, tire lateral stiffness, tire rolling resistance, tire peak friction, tire rolling radius, tire contact patch properties, tire balance properties and wheel alignment properties.
7 . The method according to claim 1 , comprising repeatedly updating at least part of the one or more tire parameters based on updated input data.
8 . The method according to claim 1 , wherein the vehicle motion state comprises longitudinal wheel slip of a respective wheel of the tire.
9 . The method according to claim 1 , wherein the vehicle motion state comprises lateral wheel slip of the respective wheel of the tire.
10 . The method according to claim 1 , wherein the vehicle motion state comprises a normal load of the respective wheel of the tire.
11 . The method according to claim 1 , wherein the vehicle motion state comprises a rotational velocity of the respective wheel of the tire.
12 . The method according to claim 1 , comprising controlling wheel slip in dependence of the wear rate corresponding to the vehicle motion state.
13 . The method according to claim 1 , comprising controlling normal load in dependence of the wear rate corresponding to the vehicle motion state.
14 . The method according to claim 13 , controlling normal load by adjusting a setting of a liftable axle of the vehicle in dependence of the wear rate.
15 . The method according to claim 1 , comprising controlling wheel rotational velocity in dependence of the wear rate.
16 . The method according to claim 1 , comprising controlling motion of the heavy-duty vehicle based on a configured target wear rate.
17 . The method according to claim 1 , further comprising coordinating one or more motion support devices of the heavy-duty vehicle to reduce a tire wear rate under constraints comprising fulfillment of a motion request.
18 . The method according to claim 1 , further comprising coordinating one or more motion support devices of the heavy-duty vehicle to reduce a stopping distance of the heavy-duty vehicle.
19 . A non-transitory computer readable medium carrying a computer program comprising program code for performing the steps of claim 1 when said program code is run on a computer or on processing circuitry of a control unit.
20 . A control unit for controlling motion of a heavy-duty vehicle, the control unit being configured to perform the steps of the method according to claim 1 .
21 . A vehicle comprising a control unit according to claim 20 .