Method for operating an energy management system and energy management system

Abstract

Method for operating an energy management system (10) for a traction battery (12) of a hybrid electric vehicle, comprising the following steps: Determining (101) whether a state of charge (SOC) of the traction battery (12) is below a predetermined charge level, wherein if the state of charge (SOC) is below the predetermined charge level: Generating (104) a charging request (400) to charge the traction battery (12) to at least the predetermined charge level if: a driver's request (200) to overtake another vehicle is identified (102) by the energy management system (10) based on a first data set (14); and an unsafe overtaking condition (300) is identified (103) by the energy management system (10) based on a second data set (16), wherein the first data set (14) comprises data from sensors (18) installed on the vehicle and data from V2X communication (20) or data from a vehicle GPS system and a digital map (22), and wherein the second data set (16) comprises data from V2X communication (20), or data from V2X communication (20) and data from a vehicle GPS system and a digital map (22), characterized by that the driver's wish (200) to overtake another vehicle is determined by the energy management system (10) by comparing a mapped pattern (MP) of a typical vehicle speed (V typ ) for different roads comprising urban roads, rural roads and Highways, the pattern being mapped under clear road conditions in which no preceding vehicle is detected by V2X communication (20), at a current vehicle speed (V REF ), where if the current vehicle speed (V REF ) by a predetermined value lower than the mapped pattern (MP) of the typical vehicle speed (V typ ) and if a vehicle ahead is detected by V2X communication (20), the driver's wish (200) to overtake another vehicle is identified.

Description

State of the art

[0001] During a vehicle overtaking maneuver, it is desirable that the maximum power of the drive system be available to the wheels, especially while driving on highways. This ensures a reliable and safe maneuver.

[0002] In hybrid vehicles, an electric motor can assist an internal combustion engine during overtaking maneuvers by providing additional electrical power to the vehicle drive.

[0003] However, the performance of the electric machine is highly dependent on the state of charge of the vehicle battery, and there is currently no intelligent energy management system available on the market that enables the electric machine to operate under optimal conditions during overtaking.

[0004] US 9 045 131 B2 discloses a method and a device for controlling a drive train of a hybrid electric vehicle, which can be driven by an internal combustion engine or individually or together with an electric machine comprising an electrical energy storage device, power electronics and a motor / generator unit.

[0005] Depending on a first or second position of an operator control, the powertrain is operated in a first operating mode corresponding to a BOOST preparation phase or in a second operating mode corresponding to a BOOST phase.

[0006] In the first operating mode, the electrical energy storage device is charged by operating the motor / generator unit as a generator, and in the second operating mode, a BOOST function of the electric machine is operated by operating the motor / generator unit together with the combustion engine as a motor.

[0007] Furthermore, the operator control comprises a pressure switch, in particular a push button, wherein the first operating mode is called up by pressing the operator control for the first time and the second operating mode is called up by pressing the operator control again.

[0008] From DE 10 2015 119 423 A1 and DE 10 2017 208 168 A1, a method for operating an energy management system for a traction battery of a hybrid electric vehicle is known, comprising the following steps: determining whether a state of charge of the traction battery is below a predetermined charge level, wherein, if the state of charge is below the predetermined charge level: generating a charging request for charging the traction battery to at least the predetermined charge level if: a driver's desire to overtake another vehicle is identified by the energy management system based on a first data set; and an unsafe overtaking condition is identified by the energy management system based on a second data set.

[0009] DE 10 2011 018 182 A1 discloses a self-learning assisted hybrid vehicle system comprising a main power source for supplying power to the vehicle, a supplemental power source for supplying supplemental power to the vehicle, and an electric motor or other mechanical system for propelling the vehicle. The system also includes a self-learning control unit that receives and stores information from multiple inputs associated with the vehicle. The self-learning control unit uses the information to perform predictions about future driving conditions of the vehicle in order to efficiently utilize the power sources of the hybrid vehicle.

[0010] Furthermore, DE 10 2009 045 476 A1 discloses a warning device for a driver of a motor vehicle to warn of an unsafe overtaking maneuver. The warning device comprises a determination device for determining a first length of a road section available for the overtaking maneuver, wherein the determination device is configured to determine a second length of a road section required for the overtaking maneuver, and a warning device for issuing a driver warning if the first length is shorter than the second length. Disclosure of the invention

[0011] It is therefore the object of the present disclosure to improve the existing energy management strategies according to the prior art.

[0012] The object is achieved by a method for operating an energy management system having the features of claims 1 or 4 and an energy management system having the features of claim 9 as well as an automobile having the features of claim 10. Advantageous further developments can be found in the subclaims.

[0013] One aspect of the present invention relates to a method for operating an energy management system for a traction battery of a hybrid electric vehicle.

[0014] The method includes the step of determining whether a state of charge of the traction battery is below a predetermined charge level.

[0015] Furthermore, the method comprises the step of generating a charging request to charge the traction battery to at least the predetermined charging level if the state of charge is below the predetermined charging level, if the energy management system identifies a driver's desire to overtake another vehicle based on a first data set, and if the energy management system identifies an unsafe overtaking condition based on a second data set.

[0016] The first data set comprises data from sensors installed on the vehicle and data from V2X communication or data from a vehicle GPS system and a digital map, and the second data set comprises data from V2X communication, or data from V2X communication and data from a vehicle GPS system and a digital map.

[0017] The method is characterized in that the driver's intention to overtake another vehicle is identified by the energy management system by comparing a mapped pattern of a typical vehicle speed for different roads comprising urban roads, rural roads and motorways, wherein the pattern is mapped under free road conditions in which no preceding vehicle is detected by V2X communication, at a current vehicle speed, wherein if the current vehicle speed is lower than the mapped pattern of the typical vehicle speed by a predetermined value and if a preceding vehicle is detected by V2X communication, the driver's intention to overtake another vehicle is identified.

[0018] Another aspect of the present invention relates to methods for operating an energy management system for a traction battery of a hybrid electric vehicle, comprising the following steps: determining whether a state of charge of the traction battery is below a predetermined charge level, wherein, if the state of charge is below the predetermined charge level: generating a charge request to charge the traction battery to at least the predetermined charge level if: a driver's desire to overtake another vehicle is identified by the energy management system based on a first data set;and an unsafe overtaking condition is identified by the energy management system based on a second data set, wherein the first data set comprises data from sensors installed on the vehicle and data from V2X communication or data from a vehicle GPS system and a digital map, and wherein the second data set comprises data from V2X communication, or data from V2X communication and data from a vehicle GPS system and a digital map;

[0019] The energy management system identifies an unsafe overtaking condition by determining whether a vehicle is ahead using data received via V2X communication and by analyzing a road profile by receiving data from the vehicle GPS system and the digital map, preferably also data via V2X communication regarding oncoming traffic, to identify locations where overtaking maneuvers are unsafe.

[0020] The method is characterized in that the energy management system identifies an unsafe overtaking condition for a section of the road profile if the section of the road profile has a curve radius of less than 500 m or if a ratio of the curve radius to the current vehicle speed is less than a predetermined value.

[0021] Another aspect of the present invention relates to an energy management system for a traction battery of a hybrid electric vehicle.

[0022] The energy management system is designed to determine whether the charge level of the traction battery is below a specified charge level.

[0023] Furthermore, the energy management system is configured to generate a charging request for charging the traction battery to at least the predetermined charging level if, based on a first data set, a driver's desire to overtake another vehicle is identified and if, based on a second data set, an unsafe overtaking condition is identified.

[0024] The first data set comprises data from sensors installed on the vehicle and data from V2X communication or data from a vehicle GPS system and a digital map, and the second data set comprises data from V2X communication, or data from V2X communication and data from a vehicle GPS system and a digital map.

[0025] The method is characterized in that the driver's intention to overtake another vehicle is identified by the energy management system by comparing a mapped pattern of a typical vehicle speed for different roads comprising urban roads, rural roads and motorways, wherein the pattern is mapped under free road conditions in which no preceding vehicle is detected by V2X communication, at a current vehicle speed, wherein if the current vehicle speed is lower than the mapped pattern of the typical vehicle speed by a predetermined value and if a preceding vehicle is detected by V2X communication, the driver's intention to overtake another vehicle is identified.

[0026] Another aspect of the present invention relates to an automobile, preferably a hybrid electric vehicle, with a traction battery and an energy management system according to the present invention.

[0027] One idea of ​​the present invention is to improve the energy management strategies according to the prior art through an automated BOOST preparation method. The automated BOOST preparation method is capable of charging the traction battery of the hybrid electric vehicle before overtaking maneuvers by relying on predictive strategies of the energy management system, which ensure that the electric machine operates in its optimal efficiency range.

[0028] This results in more robust support for the combustion engine, which increases the safety of the vehicle occupants.

[0029] By making the generation of a charging request dependent on a driver's intention to overtake another vehicle based on a certain predefined set of parameters and additionally an unsafe overtaking condition based on another set of predefined parameters, overtaking efficiency as well as the safety of the vehicle occupants can be increased.

[0030] According to a preferred development of the invention, the first data set comprises data from sensors installed in the vehicle and data from V2X communication or data from a vehicle GPS system and a digital map, and wherein the second data set comprises data from V2X communication, or data from V2X communication and data from a vehicle GPS system and a digital map.

[0031] By using data from sensors installed on the vehicle and data from V2X communication or data from a vehicle GPS system and a digital map, the driver's intention to overtake another vehicle can be accurately identified by the energy management system.

[0032] The energy management system may, for example, comprise a hybrid control unit, an engine control unit or a vehicle control unit, wherein the determinations / calculations performed by the energy management system are deemed to be performed by one or more of the hybrid control unit, the engine control unit or the vehicle control unit.

[0033] Furthermore, by using data from V2X communication, or data from V2X communication and data from a vehicle GPS system and a digital map, the energy management system can accurately identify an unsafe overtaking condition.

[0034] According to a further preferred development of the present invention, the driver's intention to overtake another vehicle is identified by the energy management system by processing data from a wheel speed sensor in order to determine a current vehicle speed V REF and by determining the speed of the vehicle in front by receiving data via V2X communication, whereby the driver's intention to overtake is determined if the current vehicle speed V REF is higher than the speed of the vehicle in front or if a relative vehicle speed calculated from the current vehicle speed and the speed of the vehicle in front is greater than or equal to a predetermined threshold.

[0035] Taking into account the fact that a vehicle is traveling ahead at a certain speed and the speed of the present vehicle, a desire to overtake the other vehicle can be accurately determined.

[0036] According to a further preferred development, the energy management system additionally determines a duration during which the current vehicle speed is higher than the speed of the vehicle in front or during which the relative vehicle speed is greater than or equal to the predetermined threshold value and / or determines a distance of the present vehicle from the vehicle in front, wherein the driver's intention to overtake another vehicle is identified by the energy management system if the current vehicle speed is higher than the speed of the vehicle in front or the relative vehicle speed is greater than or equal to the predetermined threshold value for at least a predetermined period of time, and / or the distance of the present vehicle from the vehicle in front is less than a predetermined value.

[0037] By additionally taking into account the duration during which the current vehicle speed is higher than the speed of the vehicle in front and / or the distance of the current vehicle to the vehicle in front, a driver's intention to overtake another vehicle can be determined even more precisely.

[0038] Accordingly, if it is determined by the energy management system that an actual speed of the present vehicle is less than a previously mapped pattern of typical vehicle speed under different road conditions, the energy management system can accurately determine that a driver's overtaking intention should be identified.

[0039] According to a further preferred development, it is provided that an unsafe overtaking condition is identified by the energy management system through data received via V2X communication, wherein the data comprises at least one of data relating to oncoming traffic, data relating to a current traffic jam ahead, weather warning data, data relating to traffic accidents ahead, data relating to broken-down vehicles ahead and data relating to roadworks ahead.

[0040] Therefore, if at least one of the above-mentioned data is provided via V2X communication, it can be safely determined that an unsafe overtaking condition exists.

[0041] According to a further preferred development, it is provided that the energy management system identifies an unsafe overtaking condition if at least one of the data relating to oncoming traffic, data relating to a current traffic jam ahead, weather warning data, data relating to traffic accidents ahead, data relating to broken-down vehicles ahead and data relating to roadworks ahead is received via V2X communication.

[0042] Considering the above-mentioned parameters, the safety of vehicle occupants can be significantly improved by the data received through V2X communication to determine a safe / unsafe overtaking condition.

[0043] According to a further preferred development, it is provided that the traction battery is charged to at least the predetermined charge level during operation of the hybrid electric vehicle by operating an electric machine as a generator to provide a predefined power output of the electric machine, and wherein the predetermined charge level of the traction battery is 80%.

[0044] The charge level of the traction battery can always be kept at an optimal value, i.e. above 80%, in order to have maximum power of the drive system available at the wheels when an overtaking maneuver is desired by the driver.

[0045] The features of the method for operating an energy management system for a traction battery of a hybrid electric vehicle described herein are also disclosed in the energy management system for the traction battery of the hybrid electric vehicle, the automobile, and vice versa.

[0046] According to a further preferred development, if the energy management system identifies an unsafe overtaking situation, a message or alert is displayed to the driver in the passenger compartment of the hybrid electric vehicle. This not only precharges the battery to enable better overtaking performance, but also informs the driver of the ideal time to initiate an overtaking maneuver. Short description of the drawings

[0047] For a better understanding of the present invention and its advantages, reference is now made to the following description in conjunction with the accompanying drawings. The invention is explained in more detail below using exemplary embodiments shown in the schematic illustrations of the drawings. In the drawings: Fig. 1 is a flowchart of the method for operating an energy management system for a traction battery of a hybrid electric vehicle according to a preferred embodiment of the invention; Fig. 2 is a flowchart of the method for operating the energy management system for the traction battery of the hybrid electric vehicle according to the preferred embodiment of the invention; Fig. 3 is a flowchart of the method for operating the energy management system for the traction battery of the hybrid electric vehicle according to the preferred embodiment of the invention; Fig. 4 is a flowchart of the method for operating the energy management system for the traction battery of the hybrid electric vehicle according to the preferred embodiment of the invention; and Fig. 5 is a flowchart of the method for operating the energy management system for the traction battery of the hybrid electric vehicle according to the preferred embodiment of the invention.

[0048] Unless otherwise indicated, like reference numerals refer to like elements in the drawings. Detailed description of the embodiments

[0049] Fig. 1 shows a flowchart of the method for operating an energy management system for a traction battery of a hybrid electric vehicle according to a preferred embodiment of the invention.

[0050] At 100, the energy management system checks the state of charge of the traction battery of the hybrid electric vehicle. To determine whether the state of charge of the traction battery meets certain criteria, i.e., whether the state of charge of the traction battery is above a predefined threshold, preferably 80% of a total capacity of the traction battery, the battery management system compares a value provided by a battery management system 60 with the stored predefined threshold, e.g., 80%.

[0051] If the energy management system 10 determines that the state of charge of the traction battery is currently above 80%, the method returns to 100. If, on the other hand, it is determined that the state of charge of the traction battery is currently below 80%, the method further takes into account the state of whether a driver's request 200 to overtake another vehicle is identified 102, and a state of whether the energy management system 10 identifies 103 that an unsafe overtaking condition exists.

[0052] If the energy management system 10 determines that all of the above conditions are met, ie, the charge level of the traction battery is below 80% of its maximum capacity, a driver request 200 to overtake another vehicle is identified, and an unsafe overtaking condition 300 is not identified, the energy management system then generates a charge request 400 to charge the traction battery to at least the predetermined charge level of 80% of its maximum capacity in step 104.

[0053] Fig. 2 shows a flowchart of the method for operating the energy management system for the traction battery of the hybrid electric vehicle according to the preferred embodiment of the invention.

[0054] The energy management system 10 is configured to receive multiple inputs. These multiple inputs include data from sensors 18 installed on the vehicle, data from V2X communication 20, and data from a vehicle GPS system and a digital map 22.

[0055] Furthermore, the energy management system is configured to receive data relating to a battery state of charge (SOC) from the battery management system 60. Furthermore, the energy management system is configured to generate a charging request 400 for charging the traction battery 12 to the predetermined charge level, wherein the charging request is sent from the energy management system 10 to a control unit 50 of an electric motor, which controls an electric machine 38, which in turn is connected to the traction battery 12.

[0056] The sensors 18 installed on the vehicle include a wheel speed sensor 24. The vehicle GPS system and the digital map 22 are configured to provide the energy management system 10 with data concerning a current vehicle location and a drivable profile, which will be described in more detail later.

[0057] The V2X communication 20 can be implemented, for example, by a V2X communication system that is integrated into the energy management system 10 or alternatively provided as an external system.

[0058] The V2X communication has a vehicle detection 25, a speed of the vehicle ahead V VDA , a relative vehicle speed V REL , a duration t during which the current vehicle speed V REF higher than the vehicle speed V VDA of the vehicle in front or during which the relative vehicle speed V RELis greater than or equal to the predetermined threshold value and additionally a distance d of the present vehicle to the vehicle in front.

[0059] The V2X communication 20 also includes data regarding oncoming traffic 26, data regarding a current traffic jam ahead 28, weather warning data 30, data regarding traffic accidents ahead 32, data regarding broken-down vehicles 34 and data regarding roadworks ahead 36.

[0060] Fig. 3 shows a flowchart of the method for operating the energy management system for the traction battery of the hybrid electric vehicle according to the preferred embodiment of the invention.

[0061] At 40, the method begins to determine whether a vehicle is traveling ahead of the present vehicle. This is determined at 20 through V2X communication. If the energy management system determines that no vehicle is traveling ahead, additional data from the vehicle's GPS system and digital map 22 are considered to determine whether a vehicle is actually traveling ahead of the present vehicle, for example, in the case where V2X communication is not available.

[0062] In this case, the energy management system 10 compares a mapped pattern MP of a typical vehicle speed V typ for different roads, including urban roads, rural roads and motorways, where the pattern is mapped under clear road conditions where no preceding vehicle is detected by V2X communication, with a current vehicle speed V REF, where, if the current vehicle speed V REF lower than the mapped pattern MP of the typical vehicle speed V typ by a predefined value, the energy management system can also determine that a vehicle is traveling ahead of the present vehicle using the above-mentioned data acquired by the GPS system and the digital map 22.

[0063] However, if V2X communication determines that there is a vehicle ahead of the current vehicle, the speed V VDA of the preceding vehicle is provided to the energy management system 10 via V2X communication 20.

[0064] In addition, information from sensors 18 installed on the vehicle is provided to the energy management system 10 by means of the wheel speed sensor 24. The energy management system 10 then identifies, based on data provided by V2X communication 20 and the vehicle GPS system and the digital map 22, whether a relative vehicle speed V REL is greater than zero.

[0065] Alternatively, the energy management system 10 identifies, based on the data provided by the sensors 18 installed on the vehicle as well as data provided by the vehicle GPS system and the digital map 22, whether a current vehicle speed V REF of the present vehicle is less than a typical vehicle speed V typ is based on the pattern mapped by the vehicle GPS system and the digital map 22.

[0066] If the energy management system 10 identifies that either the relative vehicle speed V REF is greater than zero or alternatively that the current vehicle speed V REF of the present vehicle is lower than the typical vehicle speed V typ Based on the pattern mapped by the vehicle GPS system and the digital map 22, the energy management system 10 identifies the driver's intention 200 to overtake another vehicle. If the aforementioned conditions are identified as false by the energy management system 10, the method continues at 11 to return to the start 40.

[0067] Fig. 4 shows a flowchart of the method for operating the energy management system for the traction battery of the hybrid electric vehicle according to the preferred embodiment of the invention.

[0068] To identify an unsafe overtaking condition 300, the energy management system 10 considers data provided by V2X communication as well as data provided by the vehicle GPS system and the digital map 22.

[0069] For this purpose, the energy management system 10 processes V2X communication 20, which contains at least one of the data of a vehicle detection 25 of a vehicle traveling ahead, the speed V VDA of the vehicle in front, a relative vehicle speed V REL , a duration t during which the current vehicle speed V REF higher than the speed V VDA of the vehicle in front and a distance d of the present vehicle to the vehicle in front.

[0070] In addition, the V2X communication 20 may further include data relating to oncoming traffic 26, data relating to a traffic jam 28, weather warning data 30, data relating to traffic accidents 32, data relating to broken-down vehicles ahead 34, and data relating to construction sites ahead 36.

[0071] The data provided by the GPS system and the digital map 22 additionally includes data regarding a curve radius of a specific section of the road profile. At 46, it is determined whether the curve radius R of a specific section of the road profile is less than 500 m.

[0072] Alternatively, it can be determined whether a ratio of the curve radius R to the current vehicle speed V REF is less than a predetermined value, making it possible to detect an unsafe overtaking condition as a function of both the current vehicle speed V REFas well as the curve radius R. If the energy management system 10 determines that any of the above conditions are met, i.e., if any of the data provided by V2X communication 20 or provided by the GPS system and the digital map 22 indicates or indicates an unsafe overtaking condition, i.e., if any V2X communication data is made available to the energy management system 10, or if it is determined at 46 that the curve radius of the specific section of the roadway profile is less than 500 m, the energy management system then identifies that an unsafe overtaking condition exists.

[0073] Fig. 5 shows a flowchart of the method for operating the energy management system for the traction battery of the hybrid electric vehicle according to the preferred embodiment of the invention.

[0074] In Fig. 5 are the above-mentioned flow charts of the Fig. 1, Fig. 3 and Fig. 4 is shown in a diagram. As can be seen, the energy management system 10 identifies that a driver request 200 to overtake another vehicle exists based on data provided by the sensors installed on the vehicle, V2X communication, or data from a vehicle GPS system and a digital map.

[0075] The energy management system is further configured to identify an unsafe overtaking condition 300 based on data provided by V2X communication as well as data provided by a vehicle GPS system and a digital map.

[0076] If it is determined that the state of charge SOC of the traction battery is below the predetermined charge level and, in addition, the energy management system 10 identifies that both a driver request 200 to overtake another vehicle exists and an unsafe overtaking condition 300 does not exist, the energy management system 10 then generates the charging request 400.

[0077] Although the above-mentioned method for operating an energy management system for a traction battery of a hybrid electric vehicle and the corresponding energy management system 10 for a traction battery of the hybrid electric vehicle have been described in connection with automobiles, it is known to a person skilled in the art that the energy management system described here is of course also applicable to other objects comprising an electric machine and an internal combustion engine. List of reference symbols 1 automobile 10 Energy management system 11 back to start 12 Traction battery 14 first data set 16 second data set 18 sensors installed on the vehicle 20 V2X communication 22 GPS system and digital map 24 wheel sensors 25 Vehicle detection 26 Oncoming traffic 28 Traffic jam ahead 30 weather warning data 32 data concerning traffic accidents ahead 34 Data concerning broken-down vehicles ahead 36 Data concerning construction sites ahead 38 electric machine 40 Start 42 vehicle detected ahead 46 Curve radius less than 500 m 50 Electric motor control unit 60 Battery management system 100 Start 101 steps 102 steps 103 steps 104 steps 200 Driver's request to overtake another vehicle 300 unsafe overtaking condition 400 loading request d distance MP mapped pattern R Curve radius SOC state of charge t duration V REF current vehicle speed V REL relative speed V typ typical vehicle speed V VDA Speed ​​of the vehicle ahead

Claims

[1] Method for operating an energy management system (10) for a traction battery (12) of a hybrid electric vehicle, comprising the following steps: Determining (101) whether a state of charge (SOC) of the traction battery (12) is below a predetermined charge level, wherein if the state of charge (SOC) is below the predetermined charge level: Generating (104) a charging request (400) to charge the traction battery (12) to at least the predetermined charge level if: a driver's request (200) to overtake another vehicle is identified (102) by the energy management system (10) based on a first data set (14); and an unsafe overtaking condition (300) is identified (103) by the energy management system (10) based on a second data set (16), wherein the first data set (14) comprises data from sensors (18) installed on the vehicle and data from V2X communication (20) or data from a vehicle GPS system and a digital map (22), and wherein the second data set (16) comprises data from V2X communication (20), or data from V2X communication (20) and data from a vehicle GPS system and a digital map (22), characterized by , that the driver's wish (200) to overtake another vehicle is determined by the energy management system (10) by comparing a mapped pattern (MP) of a typical vehicle speed (V typ ) for different roads comprising urban roads, rural roads and Highways, the pattern being mapped under clear road conditions in which no preceding vehicle is detected by V2X communication (20), at a current vehicle speed (V REF ), where if the current vehicle speed (V REF ) by a predetermined value lower than the mapped pattern (MP) of the typical vehicle speed (V typ ) and if a vehicle ahead is detected by V2X communication (20), the driver's wish (200) to overtake another vehicle is identified. [2] Method according to claim 1, characterized by that the driver's wish (200) to overtake another vehicle is identified by the energy management system (10) by processing data from a wheel speed sensor (24) to determine a current vehicle speed (V REF ) and by determining a speed (V VDA) of the vehicle in front by receiving data via V2X communication (20), wherein the driver's intention (200) to overtake is determined if the current vehicle speed (V REF ) higher than the speed (V VDA ) of the vehicle in front or if a relative speed (V REL ), which is calculated from the current vehicle speed (V REF ) and the speed of the vehicle in front (V VDA ) is greater than or equal to a predetermined threshold. [3] Method according to claim 2, characterized by that the energy management system (10) additionally determines a duration (t) during which the current vehicle speed (V REF ) higher than the speed (V VDA ) of the vehicle in front or during which the relative speed (V REL) is greater than or equal to the predetermined threshold value, and / or determines a distance (d) of the present vehicle to the vehicle in front, wherein the driver's wish (200) to overtake another vehicle is identified by the energy management system (10) if the current vehicle speed (V REF ) higher than the speed (V VDA ) of the vehicle in front or the relative speed (V REL ) is greater than or equal to the predetermined threshold value for at least a predetermined period of time, and / or the distance of the present vehicle to the preceding vehicle is less than a predetermined value. [4] A method for operating an energy management system (10) for a traction battery (12) of a hybrid electric vehicle, comprising the following steps: Determining (101) whether a state of charge (SOC) of the traction battery (12) is below a predetermined charge level, wherein if the state of charge (SOC) is below the predetermined charge level: Generating (104) a charging request (400) to charge the traction battery (12) to at least the predetermined charge level if: a driver's request (200) to overtake another vehicle is identified (102) by the energy management system (10) based on a first data set (14); and an unsafe overtaking condition (300) is identified (103) by the energy management system (10) based on a second data set (16), wherein the first data set (14) comprises data from sensors (18) installed on the vehicle and data from V2X communication (20) or data from a vehicle GPS system and a digital map (22), and wherein the second data set (16) comprises data from V2X communication (20), or data from V2X communication (20) and data from a vehicle GPS system and a digital map (22), wherein the energy management system (10) identifies an unsafe overtaking condition (300) by determining, through data received via V2X communication (20), whether a vehicle is traveling ahead, and by analyzing a road profile by receiving data from the vehicle GPS system and the digital map (22), preferably also data via V2X communication (20) concerning oncoming traffic, to identify locations at which overtaking maneuvers are unsafe, characterized bythat the energy management system (10) identifies an unsafe overtaking condition (300) for a section of the road profile if the section of the road profile has a curve radius (R) of less than 500 m or if a ratio of the curve radius (R) to the current vehicle speed (V REF ) is less than a predetermined value. [5] Method according to one of claims 1 to 4, characterized by that an unsafe overtaking condition (300) is identified by the energy management system (10) by processing data received via V2X communication (20), said data comprising at least one of data relating to oncoming traffic (26), data relating to a current traffic jam ahead (28), weather warning data (30), data relating to traffic accidents ahead (32), data relating to broken-down vehicles ahead (34) and data relating to roadworks ahead (36). [6] Method according to claim 5, characterized bythat the energy management system (10) identifies an unsafe overtaking condition (300) if at least one of data concerning oncoming traffic (26), data concerning a current traffic jam ahead (28), weather warning data (30), data concerning traffic accidents ahead (32), data concerning broken-down vehicles ahead (34) and data concerning roadworks ahead (36) is received via V2X communication (20). [7] Method according to one of claims 1 to 6, characterized by that the traction battery (12) is charged to at least the predetermined charge level during operation of the hybrid electric vehicle by operating an electric machine (38) as a generator to provide a predefined power output of the electric machine (38), and wherein the predetermined charge level of the traction battery (12) is 80%. [8] Method according to one of claims 1 to 7, characterized bythat, if an unsafe overtaking condition (300) is identified by the energy management system (10), a message is displayed to a driver in a passenger compartment of the hybrid electric vehicle. [9] An energy management system (10) for a traction battery (12) of a hybrid electric vehicle, wherein the energy management system (10) is configured to determine whether a state of charge (SOC) of the traction battery (12) is below a predetermined charge level, wherein the energy management system (10) is configured to generate a charge request (400) for charging the traction battery (12) to at least the predetermined charge level if a driver's request (200) to overtake another vehicle is identified based on a first data set (14) and if an unsafe overtaking condition (300) is identified based on a second data set (16), wherein the first data set (14) comprises data from sensors (18) installed on the vehicle and data from V2X communication (20) or data from a vehicle GPS system and a digital map (22), and wherein the second data set (16) comprises data from V2X communication (20),or data from V2X communication (20) and data from a vehicle GPS system and a digital map (22), , characterized by that the driver's wish (200) to overtake another vehicle is determined by the energy management system (10) by comparing a mapped pattern (MP) of a typical vehicle speed (V typ ) for different roads comprising urban roads, rural roads and motorways, wherein the pattern is mapped under free road conditions in which no preceding vehicle is detected by V2X communication (20), at a current vehicle speed (V REF ), where if the current vehicle speed (V REF ) by a predetermined value lower than the mapped pattern (MP) of the typical vehicle speed (V typ) and if a vehicle ahead is detected by V2X communication (20), the driver's wish (200) to overtake another vehicle is identified. [10] Automobile (1), preferably a hybrid electric vehicle, with a traction battery (12) and an energy management system (10) according to claim 9, which is operated by a method according to one of claims 1 to 8.

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