SYSTEM FOR MINIMIZING THE ENERGY CONSUMPTION OF A RAIL VEHICLE

1 . A rail vehicle ( 10 ) including:

a plurality of components ( 14 ) comprising at least one of the following: traction motors ( 14 a ) of the rail vehicle ( 10 ); a braking system ( 14 b ) of the rail vehicle ( 10 ); converters ( 14 c ) of the rail vehicle ( 10 ); Heating, Ventilation and Air Conditioning, HVAC, ( 14 d ) of the rail vehicle ( 10 ); and suspensions ( 14 e ) of the rail vehicle ( 10 ), and

an optimization system ( 20 ) coupled to the components ( 14 ) and configured to receive input data and, based on the received input data, generate a plurality of candidate speed profiles and select, among the candidate speed profiles, an optimized speed profile for driving the rail vehicle ( 10 ), the optimized speed profile minimizing the energy consumption of the rail vehicle ( 10 ),

the input data comprising:

kinematics data (D 1 ) determined in real-time and indicative of real-time kinematics information of the rail vehicle ( 10 );

track data (D 2 ) indicative of a path to be travelled by the rail vehicle ( 10 );

constraint data (D 4 ) indicative of constraints for the functioning of the rail vehicle ( 10 ), the constraint data (D 4 ) comprising at least one among: a maximum speed of the rail vehicle ( 10 ); a maximum acceleration of the rail vehicle ( 10 ); and a timetable scheduling the travel of the rail vehicle ( 10 ); and

component condition data (D 3 ) comprising operating parameters determined in real-time and indicative of the real-time functioning of the components ( 14 ).

2 . The rail vehicle ( 10 ) according to claim 1 , wherein the optimization system ( 20 ) is further configured to, based on the received input data, generate a respective candidate configuration parameter set for each candidate speed profile and select, among the candidate configuration parameter sets, an optimized configuration parameter set indicative of control parameters for controlling the components ( 14 ), the optimized configuration parameter set contributing to the minimization of the energy consumption of the rail vehicle ( 10 ).

3 . The optimization system ( 20 ) according to claim 2 , comprising:

a generator module ( 22 ) configured to receive the kinematics data (D 1 ), the track data (D 2 ) and the constraint data (D 4 ) and, based on the kinematics data (D 1 ), the track data (D 2 ) and the constraint data (D 4 ), generate said plurality of candidate speed profiles and said respective plurality of candidate configuration parameter sets, each candidate configuration parameter set being generated based on a respective candidate speed profile of the candidate speed profiles;

an efficiency module ( 24 ) configured to receive the candidate speed profiles, the candidate configuration parameter sets and the component condition data (D 3 ) and, based on the candidate speed profiles, the candidate configuration parameter sets and the component condition data (D 3 ), generate a respective candidate component efficiency set for each candidate configuration parameter set, each candidate component efficiency set being indicative of the predicted working efficiencies of the components ( 14 ) when the components ( 14 ) are controlled according to the respective candidate configuration parameter set and the rail vehicle ( 10 ) is controlled according to the respective candidate speed profile;

a consumption forecasting module ( 26 ) configured to receive the candidate speed profiles, the candidate configuration parameter sets, the candidate component efficiency sets and the track data (D 2 ) and, based on the candidate speed profiles, the candidate configuration parameter sets, the candidate component efficiency sets and the track data (D 2 ), generate a respective candidate consumption prediction for each candidate speed profile, each candidate consumption prediction being indicative of a predicted energy consumption of the rail vehicle ( 10 ) or of each component ( 14 ); and

a selector module ( 28 ) configured to receive the candidate speed profiles, the candidate configuration parameter sets, the candidate consumption predictions and the component condition data (D 3 ) and, based on the candidate consumption predictions and the component condition data (D 3 ), select as the optimized candidate speed profile and the optimized configuration parameter set respectively the candidate speed profile and the associated candidate configuration parameter set having the candidate consumption prediction that is indicative of the lowest predicted energy consumption of the rail vehicle ( 10 ).

4 . The rail vehicle ( 10 ) according to claim 3 , wherein the consumption forecasting module ( 26 ) is based on machine learning or artificial intelligence techniques and is trained based on a training dataset comprising energy consumption data indicative of historical data about the measured energy consumption of the rail vehicle ( 10 ).

5 . The rail vehicle ( 10 ) according to claim 3 , wherein the efficiency module ( 24 ) is based on physical models of the components ( 14 ).

6 . The rail vehicle ( 10 ) according to claim 2 , wherein the control parameters of the optimized configuration parameter set are variable in time.

7 . The rail vehicle ( 10 ) according to claim 1 , wherein the input data further comprise environmental data (D 5 ) indicative of features of an environment in which the rail vehicle ( 10 ) is present, the environmental data (D 5 ) comprising at least one among: an external temperature; an external humidity; and a wind speed.

8 . The rail vehicle ( 10 ) according to claim 1 , wherein, when the components ( 14 ) comprise the traction motors ( 14 a ), the component condition data (D 3 ) comprise at least one of the following: a status of the traction motors ( 14 a ); a revolutions per minute number; a usage meter indicative of the past operating time of the traction motors ( 14 a ); an air intake temperature; an air intake pressure; and an intake air after-filter pressure,

wherein, when the components ( 14 ) comprise the braking system ( 14 b ), the component condition data (D 3 ) comprise at least one of the following: a status of the braking system ( 14 b ); hours of life indicative of the past operating time of the braking system ( 14 b ); cycle counting indicative of the number of cycles performed within a specified period; and pressure levels,

wherein, when the components ( 14 ) comprise the converters ( 14 c ), the component condition data (D 3 ) comprise at least one of the following: a switching frequency; a converter temperature; an input/output voltage; an input/output current; an error status; and an input/output power of the converters ( 14 c ),

wherein, when the components ( 14 ) comprise the HVAC ( 14 d ), the component condition data (D 3 ) comprise at least one of the following: a status of the HVAC ( 14 d ); an operating mode of the HVAC ( 14 d ); a supply temperature indicative of the measured temperature of the supplied air; and a target temperature indicative of the target temperature of the air to be supplied, and

wherein, when the components ( 14 ) comprise the suspensions ( 14 e ), the component condition data (D 3 ) comprise at least one of the following: a static bogie weight; and a body weight pressure.

9 . The rail vehicle ( 10 ) according to claim 1 , wherein the optimization system ( 20 ) further comprises a predictive maintenance module configured to acquire the component condition data (D 3 ) and generate predictive maintenance information indicative of the timing for replacing or performing maintenance on each component ( 14 ).

10 . An optimization system ( 20 ) for a rail vehicle ( 10 ) including a plurality of components ( 14 ),

the optimization system ( 20 ) being couplable to the components ( 14 ) of the rail vehicle ( 10 ) and being configured to receive input data and, based on the received input data, generate a plurality of candidate speed profiles and select, among the candidate speed profiles, an optimized speed profile for driving the rail vehicle ( 10 ), the optimized speed profile minimizing the energy consumption of the rail vehicle ( 10 ),

the input data comprising:

kinematics data (D 1 ) determined in real-time and indicative of real-time kinematics information of the rail vehicle ( 10 );

track data (D 2 ) indicative of a path to be travelled by the rail vehicle ( 10 );

constraint data (D 4 ) indicative of constraints for the functioning of the rail vehicle ( 10 ), the constraint data (D 4 ) comprising at least one among: a maximum speed of the rail vehicle ( 10 ); a maximum acceleration of the rail vehicle ( 10 ); and a timetable scheduling the travel of the rail vehicle ( 10 ); and

component condition data (D 3 ) comprising operating parameters determined in real-time and indicative of the real-time functioning of the components ( 14 ) of the rail vehicle ( 10 ).

11 . A method for minimizing the energy consumption of a rail vehicle ( 10 ),

the rail vehicle ( 10 ) including:

a plurality of components ( 14 ) comprising at least one of the following: traction motors ( 14 a ) of the rail vehicle ( 10 ); a braking system ( 14 b ) of the rail vehicle ( 10 ); converters ( 14 c ) of the rail vehicle ( 10 ); Heating, Ventilation and Air Conditioning, HVAC, ( 14 d ) of the rail vehicle ( 10 ); and suspensions ( 14 e ) of the rail vehicle ( 10 ), and

an optimization system ( 20 ) coupled to the components ( 14 ),

the method comprising:

receiving, by the optimization system ( 20 ), input data;

based on the received input data, generating, by the optimization system ( 20 ), a plurality of candidate speed profiles; and

selecting, by the optimization system ( 20 ) and among the candidate speed profiles, an optimized speed profile for driving the rail vehicle ( 10 ), the optimized speed profile minimizing the energy consumption of the rail vehicle ( 10 ),

the input data comprising:

kinematics data (D 1 ) determined in real-time and indicative of real-time kinematics information of the rail vehicle ( 10 );

track data (D 2 ) indicative of a path to be travelled by the rail vehicle ( 10 );

constraint data (D 4 ) indicative of constraints for the functioning of the rail vehicle ( 10 ), the constraint data (D 4 ) comprising at least one among: a maximum speed of the rail vehicle ( 10 ); a maximum acceleration of the rail vehicle ( 10 ); and a timetable scheduling the travel of the rail vehicle ( 10 ); and

component condition data (D 3 ) comprising operating parameters determined in real-time and indicative of the real-time functioning of the components ( 14 ).

12 . The method according to claim 11 , further comprising:

generating, by the optimization system ( 20 ) and based on the received input data, a respective candidate configuration parameter set for each candidate speed profile; and

selecting, by the optimization system ( 20 ) and among the candidate configuration parameter sets, an optimized configuration parameter set indicative of control parameters for controlling the components ( 14 ), the optimized configuration parameter set contributing to the minimization of the energy consumption of the rail vehicle ( 10 ),

wherein the steps of generating the candidate speed profiles and the candidate configuration parameter sets comprise generating, by a generator module ( 22 ) of the optimization system ( 10 ), said plurality of candidate speed profiles and said respective plurality of candidate configuration parameter sets based on the kinematics data (D 1 ), the track data (D 2 ) and the constraint data (D 4 ), each candidate configuration parameter set being generated based on a respective candidate speed profile of the candidate speed profiles, and

wherein the steps of selecting the optimized speed profile and the optimized configuration parameter set comprise:

based on the candidate speed profiles, the candidate configuration parameter sets and the component condition data (D 3 ), generating, by an efficiency module ( 24 ) of the optimization system ( 20 ), a respective candidate component efficiency set for each candidate configuration parameter set, each candidate component efficiency set being indicative of the predicted working efficiencies of the components ( 14 ) when the components ( 14 ) are controlled according to the respective candidate configuration parameter set and the rail vehicle ( 10 ) is controlled according to the respective candidate speed profile;

based on the candidate speed profiles, the candidate configuration parameter sets, the candidate component efficiency sets and the track data (D 2 ), generating, by a consumption forecasting module ( 26 ) of the optimization system ( 20 ), a respective candidate consumption prediction for each candidate speed profile, each candidate consumption prediction being indicative of a predicted energy consumption of the rail vehicle ( 10 ) or of each component ( 14 ); and

based on the candidate consumption predictions and the component condition data (D 3 ), selecting, by a selector module ( 28 ) of the optimization system ( 20 ), as the optimized candidate speed profile and the optimized configuration parameter set respectively the candidate speed profile and the associated candidate configuration parameter set having the candidate consumption prediction that is indicative of the lowest predicted energy consumption of the rail vehicle ( 10 ).