Method for automatically adapting a traction control of a vehicle

A method for automatically adapting a traction control of a vehicle, comprising the following steps:

• receiving current state variables of the vehicle, which each indicates a current state of the vehicle;
• determining a control action using a traction controller based on the received current state variables, wherein the control action includes increasing, or maintaining, or decreasing a control variable, wherein the control variable includes a torque of a motor of the vehicle and/or a pressure of a brake cylinder of the vehicle;
• determining a control gradient of the control variable using a value matrix, wherein the value matrix includes a plurality of parameters, which are each assigned to current value matrix state variables of the vehicle, wherein the control gradient (is selected from the plurality of parameters as a function of the current value matrix state variables, wherein the current state variables include the current value matrix state variables;
• carrying out the traction control of the vehicle, wherein the control variable is adapted by the determined control gradient according to the determined control action;
• determining a change in the current state variables as a result of carrying out the traction control over a considered time period;
• and
• adapting at least one parameter of the value matrix as a function of the determined change in the current state variables by triggering at least one previously specified learning rule.

A non-transitory computer-readable storage medium on which is stored a computer program for automatically adapting a traction control of a vehicle, the computer program, when executed by a computer, causing the computer to perform the following steps:

• receiving current state variables of the vehicle, which each indicates a current state of the vehicle;
• determining a control action using a traction controller based on the received current state variables, wherein the control action includes increasing, or maintaining, or decreasing a control variable, wherein the control variable includes a torque of a motor of the vehicle and/or a pressure of a brake cylinder of the vehicle;
• determining a control gradient of the control variable using a value matrix, wherein the value matrix includes a plurality of parameters, which are each assigned to current value matrix state variables of the vehicle, wherein the control gradient (is selected from the plurality of parameters as a function of the current value matrix state variables, wherein the current state variables include the current value matrix state variables;
• carrying out the traction control of the vehicle, wherein the control variable is adapted by the determined control gradient according to the determined control action;
• determining a change in the current state variables as a result of carrying out the traction control over a considered time period;
• and
• adapting at least one parameter of the value matrix as a function of the determined change in the current state variables by triggering at least one previously specified learning rule.

A device configured to automatically adapt a traction control of a vehicle, the device configured to:

• receive current state variables of the vehicle, which each indicates a current state of the vehicle;
• determine a control action using a traction controller based on the received current state variables, wherein the control action includes increasing, or maintaining, or decreasing a control variable, wherein the control variable includes a torque of a motor of the vehicle and/or a pressure of a brake cylinder of the vehicle;
• determine a control gradient of the control variable using a value matrix, wherein the value matrix includes a plurality of parameters, which are each assigned to current value matrix state variables of the vehicle, wherein the control gradient (is selected from the plurality of parameters as a function of the current value matrix state variables, wherein the current state variables include the current value matrix state variables;
• carry out the traction control of the vehicle, wherein the control variable is adapted by the determined control gradient according to the determined control action;
• determine a change in the current state variables as a result of carrying out the traction control over a considered time period;
• and
• adapt at least one parameter of the value matrix as a function of the determined change in the current state variables by triggering at least one previously specified learning rule.