Device and method for predicting and preventing deterioration of electric drive components in a vehicle

Abstract

The present invention relates to a system and method for predicting and preventing deterioration of electric drive components (112A, 112B ... 112N) within a vehicle (110). The system comprises: a determination unit (120) designed to determine road properties of a planned route of the vehicle (110); and a prediction unit (130) designed to continuously predict the type of deterioration of electric drive components (112A, 112B ... 112N) within the vehicle (110) by referring to the determined road properties. and includes a control unit (140) designed to control the drive components (112A, 112B ... 112N) in such a way that the drive components (112A, 112B ... 112N) are affected in an expected manner so that the predicted type of degradation of the drive components (112A, 112B ... 112N) does not occur when the type of degradation of the drive components (112A, 112B ... 112N) is predicted by the prediction unit (130).

Description

Technology Field

[0001] The present invention relates to an apparatus and method for predicting and preventing the deterioration of an electric drive component within a vehicle. Background Technology

[0002] Degradation of system components within a vehicle involves intentionally reducing critical system characteristics, such as the performance of the system component, to protect the component, for example, from overheating caused by overload. In particular, regarding the overload of these individual system components, degradation occurs when a corresponding threshold, such as a temperature threshold, is exceeded. In this case, each system component is considered individually, and degradation begins when the system component reaches its maximum load index, for example, when it reaches its maximum temperature or maximum temperature value. This fact leads to a situation where the load index of each individual electric drive component is regarded as the current total load rating of the electric drive component. The disadvantage of such a system is that degradation in electric drive components generally entails severe limitations in the individual drive components, resulting in a significant impact on the vehicle's overall driving power. Such effects can be strongly perceived by the vehicle driver and may cause driving limitations in road traffic.

[0003] The objective of the present invention is to provide a solution capable of predicting and preventing the deterioration of one or more electric drive components within a vehicle.

[0004] The above problem is solved by the features of the independent claims according to the present invention. Preferred embodiments are the subject of the dependent claims.

[0005] The aforementioned problem is solved by a system for predicting and preventing the degradation of electric drive components within a vehicle, and this system includes the following:

[0006] A decision unit designed to determine road properties of a vehicle's planned route;

[0007] A prediction unit designed to continuously predict the type of degradation of electric drive components within a vehicle by referring to determined road properties; and

[0008] A control unit designed to control drive components in such a way that the drive components are affected in an expected manner, so that the predicted type of degradation of the drive components does not occur, when the type of degradation of the drive components is predicted by a prediction unit. For this purpose, measures such as lowering the cooling threshold of the drive components may be taken, for example, so that the predicted type of degradation does not occur as a result.

[0009] Within the framework of this document, the term "vehicle" includes mobile means of transport used to transport people (passenger transport), goods (cargo transport), or tools (machinery or auxiliary equipment). In particular, the term "vehicle" includes automobiles and automobiles that can be driven at least partially electrically (electric vehicles, hybrid vehicles).

[0010] The vehicle may be controlled by a vehicle driver. Furthermore, or alternatively, the vehicle may be a vehicle operating in a state of at least partial automation. Within the framework of this document, the terms “vehicle operating in a state of automation” or “automated driving” may be understood as driving by automated longitudinal or lateral guidance, or autonomous driving by automated longitudinal and lateral guidance. Automated driving may be, for example, longer driving on a highway, or driving limited in time within the framework of parking or shunting. The term “automated driving” includes automated driving having any class of automation. Exemplary classes of automation are assisted driving, partially automated driving, highly automated driving, or fully automated driving. Such classes of automation were defined by the Federal Highway Research Institute (BASt) (see BASt publication “Forschung kompakt”, November 2012). In assisted driving, the driver continuously performs longitudinal or lateral guidance, while the system performs different functions within specific limits. In the case of partially automated driving, the system performs longitudinal and lateral guidance for a set period and / or in specific situations, and in this case, the driver must continuously monitor the system as in assisted driving. In the case of highly automated driving, the system performs longitudinal and lateral guidance for a set period without the need for the driver to continuously monitor the system; however, the driver must be able to take over vehicle guidance after a set period. In the case of fully automated driving, the system can automatically control driving in all situations for specific applications; for such applications, the driver is no longer required.The four automation levels mentioned above correspond to SAE Levels 1 through 4 of the SAE J3016 standard (SAE - Society of Automotive Engineering). Additionally, SAE J3016 provides SAE Level 5 as the highest level of automation, which is not included in the BASST definition. SAE Level 5 corresponds to unmanned driving, in which case the system can automatically control all situations like a human driver throughout the entire drive.

[0011] This system includes a determination unit designed to determine road properties of a planned route of a vehicle. The planned route may include a route input or transmitted through the vehicle's navigation system. Furthermore, or alternatively, the planned route may be a route learned by the vehicle's computing unit, which the computing unit can determine from the vehicle user's movement profile, for example, using a suitable algorithm (so-called learned navigation). This system also includes a prediction unit designed to continuously predict the type of degradation of electric drive components within the vehicle by reference to the determined road properties. Additionally, this system includes a control unit designed to control drive components in such a way that, when the type of degradation of drive components is predicted by the prediction unit, these drive components are affected in an expected manner so that the predicted type of degradation of the drive components does not occur.

[0012] In a desirable manner, the predicted degradation of the drive components can be prevented by ensuring that the drive components are affected in an expected manner. This guarantees the performance of the entire vehicle system.

[0013] Preferably, the electric drive component includes the following:

[0014] - As a high-voltage battery for a vehicle, in this case, the predicted types of degradation of this high-voltage battery include the following:

[0015] -- Degradation that may occur due to exceeding or falling short of a predefined critical temperature or a predefined critical temperature value of a high-voltage battery; and / or

[0016] -- Degradation that may occur due to exceeding or falling short of a predefined critical charge state of a high-voltage battery; and / or

[0017] -- Degradation that may occur due to exceeding or falling short of another suitable predefined threshold operating state value of the high-voltage battery; and / or

[0018] - As the vehicle's electrical machine, i.e., the E-machine, in this case, the predicted type of degradation of the E-machine is degradation that may occur due to a component of the E-machine exceeding or falling short of a predefined critical temperature or a predefined critical temperature value.

[0019] Includes; and / or

[0020] - As a drive electronics of a vehicle, in this case, the predicted type of degradation of the drive electronics includes degradation that may occur due to exceeding or falling short of a predefined critical temperature or a predefined critical temperature value of the drive electronics; and / or

[0021] - As a high-voltage wiring harness of a vehicle, wherein the predicted type of degradation of the high-voltage wiring harness includes degradation that may occur due to exceeding or falling short of a predefined critical temperature or a predefined critical temperature value of the high-voltage wiring harness; and / or

[0022] - As another electric drive component of the vehicle, in this case, the predicted type of degradation of the other electric drive component includes degradation that may occur due to exceeding or falling short of a predefined suitable threshold operating state value of the other electric drive component.

[0023] An electric drive component may include a high-voltage battery of a vehicle. In this case, the predicted type of degradation of the high-voltage battery may include the predicted degradation of the high-voltage battery that may occur due to exceeding and / or falling short of a predefined or predefined temperature (or temperature value) of the high-voltage battery by a functional threshold. Furthermore, or alternatively, the predicted type of degradation of the high-voltage battery may include degradation that may occur due to exceeding or falling short of a predefined or predefined state of charge of the high-voltage battery. Furthermore, the predicted type of degradation may include degradation that may occur due to exceeding or falling short of another predefined suitable threshold operating state value of the high-voltage battery.

[0024] Furthermore, or alternatively, the electric drive component may include the vehicle's electromechanical or E-mechanical. The predicted type of degradation of the E-mechanical may include degradation that may occur due to exceeding or falling short of a predefined or predefined temperature of the E-mechanical. One component of the E-mechanical may include, for example, the stator, rotor, transmission, and / or power electronics of the E-mechanical.

[0025] Furthermore, or alternatively, the electric drive component may include the vehicle's drive electronics. The predicted type of degradation of the drive electronics may include degradation that may occur due to exceeding or falling short of a predefined or predefined critical temperature of the drive electronics.

[0026] Furthermore, or alternatively, the electric drive component may include a high-voltage wiring harness of the vehicle. The predicted type of degradation of the high-voltage wiring harness may include degradation that may occur due to exceeding or falling short of a predefined or predefined temperature of the high-voltage wiring harness.

[0027] Furthermore, or alternatively, the electric drive components may include each other electric drive component of the vehicle. The type of degradation of each other drive component may include degradation that may occur due to exceeding or falling short of a predefined suitable threshold operating state value of such drive component.

[0028] In a desirable manner, the process of continuously predicting the type of degradation of electric drive components by a prediction unit includes the following:

[0029] - The process of categorizing planned routes by referring to road attributes, in this case, road attributes include the following:

[0030] - Slope formed along the path; and / or

[0031] - Expected speed of the vehicle along the route; and / or

[0032] - Road type and / or

[0033] - Road surface; and / or

[0034] - Speed ​​limits applied along the route; and / or

[0035] - Curvature of the path; and / or

[0036] - Current obstacles appearing along the path;

[0037] - The process of dividing the route into sections based on road attributes; and

[0038] - A process of predicting the deterioration of electric drive components within a vehicle based on road attributes.

[0039] The process of continuously predicting the type of degradation of electric drive components by a prediction unit may include the following:

[0040] - The process of categorizing planned routes by referring to road attributes, in this case, road attributes include the following:

[0041] - Slope formed along the path; and / or

[0042] - Expected speed of the vehicle along the route; and / or

[0043] - Road type and / or

[0044] - Road surface; and / or

[0045] - Speed ​​limits applied along the route; and / or

[0046] - Curvature of the path; and / or

[0047] - Current obstacles appearing along the path;

[0048] - The process of dividing the route into sections based on road attributes; and

[0049] - A process for predicting the deterioration of electric drive components within a vehicle (110) according to road properties.

[0050] To determine road properties, the determination unit may use navigation data or route data. These data may be stored locally within the vehicle, for example, within the vehicle's navigation unit. Furthermore, or alternatively, the navigation data or route data may be determined by a back-end, for example, via a mobile wireless network. For this purpose, the vehicle may include a communication unit designed to establish a communication connection with other communication participants, for example, the back-end. The communication unit may include a Subscriber Identity Module or a SIM card used to establish a communication connection via a mobile wireless system. In this case, the Subscriber Identity Module uniquely identifies the communication unit within the mobile wireless network. The communication connection may be a data connection (e.g., packet switching) and / or a wired communication connection (e.g., circuit switching). Communication may be performed according to the C-V2X (Cellular Vehicle To X) paradigm based on LTE standard version 14. Furthermore, the communication unit may communicate via other air interfaces, such as a WLAN, regardless of the availability of sufficient capacity of a mobile wireless network or currently available mobile wireless networks. For this purpose, IST-G5 or IEEE 802.11p may be used in V2V (Vehicle-to-Vehicle) communication. The vehicle may include a navigation module designed to collect the vehicle's current location data. The navigation module may determine or collect current location data using a navigation satellite system to collect or determine a geographic location.The navigation satellite system may be any current or future Global Navigation Satellite System (GNSS) for determining location and finding direction by receiving signals from navigation satellites and / or pseudo-satellites. For example, the Global Navigation Satellite System may be the Global Positioning System (GPS), GLONASS (GLObal NAvigation Satellite System), Galileo Positioning System, and / or BeiDou Navigation Satellite System. In the example of GPS, the navigation module may include a GPS module designed to determine the vehicle's current GPS location data.

[0051] In the next step, the prediction unit can divide the route into sections based on road attributes. In the following step, the prediction unit can predict the type of degradation of electric drive components based on road attributes. This prediction process can be performed using a suitable machine learning algorithm or a machine learning algorithm.

[0052] In a desirable manner, the anticipated deterioration of electric drive components can be accurately predicted by predicting the type of deterioration of electric drive components considering a number of related road attributes.

[0053] Preferably, the continuous prediction of deterioration types by the prediction unit is performed by taking into account the vehicle driver's current driving style.

[0054] For this purpose, the current driving style of a vehicle driver for each drive can be determined by a prediction unit. For example, a reference value or average value of the driving style of multiple drivers in a vehicle group can be determined in advance. For this purpose, while the vehicle is driving along a route, the deviation of the driving style of the vehicle driver from the determined reference value or average value of the vehicle group can be determined. The prediction unit can take into account the deviation of the driving style of the vehicle driver from the determined reference value when predicting the type of degradation of the electric drive component.

[0055] Thus, the accuracy of the prediction of deterioration types by the prediction unit can be increased in a desirable manner.

[0056] According to a second aspect, the fundamental problem of the present invention is solved by a method for predicting and preventing the deterioration of an electric drive component in a vehicle, comprising the following steps:

[0057] A step of determining the road properties of the vehicle's planned route through a decision unit;

[0058] A step of continuously predicting the type of deterioration of an electric drive component through a prediction unit by referring to the road attributes determined above; and

[0059] If the type of degradation of the driven component is predicted by the prediction unit:

[0060] A step of controlling drive components by a control unit in such a way that the drive components are affected in an expected manner so that the predicted type of degradation of the drive components does not occur.

[0061] In a preferred manner, the electric drive component includes the following:

[0062] - As a high-voltage battery for a vehicle, in this case, the predicted types of degradation of this high-voltage battery include the following:

[0063] -- Degradation that may occur due to exceeding or falling short of the predefined critical temperature of the high-voltage battery; and / or

[0064] -- Degradation that may occur due to exceeding or falling short of a predefined critical charge state of a high-voltage battery; and / or

[0065] -- Degradation that may occur due to exceeding or falling short of another suitable predefined threshold operating state value of the high-voltage battery; and / or

[0066] - As an electric machine of a vehicle, i.e., an E-machine, in this case, the predicted type of degradation of the E-machine includes degradation that may occur due to exceeding or falling short of a predefined critical temperature of one component of the E-machine; and / or

[0067] - As a drive electronics of a vehicle, in this case, the predicted type of degradation of the drive electronics includes degradation that may occur due to exceeding or falling short of a predefined critical temperature of the drive electronics; and / or

[0068] - As a high-voltage wiring harness for a vehicle, in this case, the predicted type of degradation of the high-voltage wiring harness includes degradation that may occur due to exceeding or falling short of a predefined critical temperature of the high-voltage wiring harness; and / or

[0069] - As another electric drive component of the vehicle, in this case, the predicted type of degradation of the other electric drive component includes degradation that may occur due to exceeding or falling short of a predefined suitable threshold operating state value of the other electric drive component.

[0070] In a desirable manner, a process for continuously predicting degradation types includes the following:

[0071] - A process of categorizing planned routes by referring to road attributes, wherein the road attributes include the following:

[0072] - Slope formed along the path; and / or

[0073] - Expected speed of the vehicle along the route; and / or

[0074] - Road type and / or

[0075] - Road surface; and / or

[0076] - Speed ​​limits applied along the route; and / or

[0077] - Curvature of the path; and / or

[0078] - Current obstacles appearing along the path;

[0079] - The process of dividing the route into sections based on road attributes; and

[0080] - A process of predicting the deterioration of electric drive components within a vehicle based on road attributes.

[0081] In a desirable manner, the continuous prediction of the degradation type of electric drive components is performed by taking into account the vehicle driver's current driving style.

[0082] Such and other problems, features, and advantages of the present invention will become apparent from the following detailed description of the preferred embodiments and the respective accompanying drawings. Although the embodiments are described individually, it is evident that individual features of these embodiments can be combined to form additional embodiments. Brief explanation of the drawing

[0083] Fig. 1 It schematically illustrates a system for predicting and preventing the deterioration of electric drive components within a vehicle; Fig. 2 It exemplarily illustrates a process for preventing the deterioration of electric drive components within a vehicle that affects electric drive components; Fig. 3 It illustrates an exemplary continuous prediction process of the type of degradation of an electric drive component by a prediction unit; Fig. 4This illustrates an exemplary method for predicting and preventing the deterioration of electric drive components within a vehicle. Specific details for implementing the invention

[0084] Fig. 1 The diagram schematically shows a system (100) for predicting and preventing deterioration of electric drive components (112A, 112B ... 112N) within a vehicle (110).

[0085] The system (100) includes a determination unit (120) designed to determine road properties of a planned route of a vehicle (110). Road properties may include the following:

[0086] - Slope formed along the path; and / or

[0087] - Expected speed of the vehicle (110) along the path; and / or

[0088] - As a road type, the road type may include categorizing the route by referring to local roads, expressways, federal roads, urban roads, etc.; and / or

[0089] - Road surface appearing along the path; and / or

[0090] - Speed ​​limits applied along the route; and / or

[0091] - Road curvature appearing along the path; and / or

[0092] - Current obstacles appearing along the route, such as current traffic congestion information, current construction site areas, current accident reports, current weather information, etc.;

[0093] - Another related road attribute that can describe the characteristics of the path.

[0094] To determine road properties, the determination unit (120) may use navigation data or route data. These data may be stored locally within the vehicle (110), for example, within the navigation unit of the vehicle (110). Furthermore, or alternatively, the navigation data or route data may be determined by the back-end (160), for example, via a mobile wireless network (150). For this purpose, the vehicle (110) may include a communication unit designed to establish a communication connection with other communication participants, for example, the back-end (160). The communication unit may include a Subscriber Identity Module or a SIM card used to establish a communication connection via the mobile wireless network (150). In this case, the Subscriber Identity Module uniquely identifies the communication unit within the mobile wireless network (150). The communication connection may be a data connection (e.g., packet switching) and / or a wired communication connection (e.g., circuit switching). Communication may be performed according to the C-V2X (Cellular Vehicle To X) paradigm according to LTE standard version 14. Furthermore, the communication unit may communicate via other air interfaces, such as WLAN, regardless of the availability of sufficient capacity of a mobile wireless network or currently available mobile wireless networks. For this purpose, IST-G5 or IEEE 802.11p may be used in V2V (Vehicle-to-Vehicle) communication. The vehicle (110) may include a navigation module designed to collect current location data of the vehicle (110). The navigation module may determine or collect current location data using a navigation satellite system to collect or determine a geographic location.The navigation satellite system may be any current or future Global Navigation Satellite System (GNSS) for determining location and finding direction by receiving signals from navigation satellites and / or pseudo-satellites. For example, the Global Navigation Satellite System may be the Global Positioning System (GPS), GLONASS (GLObal NAvigation Satellite System), Galileo, Positioning System, and / or BeiDou Navigation Satellite System. In the example of GPS, the navigation module may include a GPS module designed to determine the current GPS location data of the vehicle (110). By the navigation module of the vehicle (110), the planned route of the vehicle (110) may be determined.

[0095] The system (100) further includes a prediction unit (130) designed to continuously predict the type of degradation of electric drive components (112A, 112B ... 112N) of a vehicle (110). The electric drive components (112A, 112B ... 112N) may include a high-voltage battery of the vehicle (110). In this case, the predicted type of degradation of the high-voltage battery may include (predicted) degradation that may occur due to exceeding or falling short of a predefined threshold temperature of the high-voltage battery. Furthermore, or alternatively, the predicted type of degradation may include (predicted) degradation that may occur due to exceeding or falling short of a predefined threshold charge state of the high-voltage battery. Furthermore, or alternatively, the predicted type of degradation may include (predicted) degradation that may occur due to exceeding or falling short of another suitable predefined threshold operating state value of the high-voltage battery.

[0096] Furthermore, or alternatively, electric drive components (112A, 112B ... 112N) may include the electric machine of the vehicle (110), i.e., the E-machine. The predicted type of degradation of the E-machine may include (predicted) degradation that may occur due to exceeding or falling short of a predefined critical temperature of one component of the E-machine. One component of the E-machine may include, for example, the stator, rotor, transmission, and / or power electronics of the E-machine.

[0097] Furthermore, or alternatively, electric drive components (112A, 112B ... 112N) may include drive electronics of the vehicle (110). The predicted type of degradation of the drive electronics may include (predicted) degradation that may occur due to exceeding or falling short of a predefined critical temperature of the drive electronics.

[0098] Furthermore, or alternatively, electric drive components (112A, 112B ... 112N) may include a high-voltage wiring harness of the vehicle (110). The predicted type of degradation of the high-voltage wiring harness may include predicted degradation that may occur due to exceeding or falling short of a predefined critical temperature of the high-voltage wiring harness.

[0099] Furthermore, or alternatively, the electric drive components (112A, 112B ... 112N) may each include another electric drive component of the vehicle (110), in which case the predicted type of degradation of the other drive component may include (predicted) degradation that may occur due to exceeding or falling short of a predefined suitable threshold operating state value of such drive component.

[0100] The process of continuously predicting the type of deterioration by the prediction unit (130) may include a process of categorizing the planned route by referring to road attributes. To categorize the planned route by referring to the aforementioned road attributes, the prediction unit (130) may use navigation data or route data. In the next step, the prediction unit (130) may divide the route into sections by road attributes. In the next step, the prediction unit (130) may predict the type of deterioration of the electric drive components (112A, 112B ... 112N) by road attributes. Such a prediction process may be performed using a suitable machine-learning algorithm or a machine-learning algorithm. The continuous prediction of the type of deterioration of the electric drive components is Fig. 3 This is explained in more detail below with reference. To continuously predict the type of degradation by the prediction unit, a suitable machine-learning algorithm may be used.

[0101] In the training phase of the machine-learning algorithm, a map may first be generated indicating how much energy a vehicle, for example, a group of vehicles, has consumed per road segment of the route, for example, per 100 m of the route. This map may be generated by collecting energy consumption data of the group of vehicles and / or by collecting speed and acceleration data of the group of vehicles. Other road attributes listed above, such as gradient and road type, may be considered when determining energy consumption. In the next step, the machine-learning algorithm may be trained by using a time series containing the energy consumption, speed, gradient, and segment length of the group of vehicles' route as input. The machine-learning algorithm generates a time series as output having the predicted degradation type of the electric drive components (112A, 112B ... 112N).

[0102] When in use, an energy card may be transmitted, for example, from a back-end (160) to a vehicle (110). The vehicle (110) determines the energy consumption formed along the path. A machine-learning algorithm receives the predicted energy consumption as input, taking into account road properties appearing along the path. As output, a prediction of the type of degradation of electric drive components (112A, 112B ... 112N) appearing along the path is made (see column 1 of Table 350 shown in FIG. 3).

[0103] The prediction unit (130) can take into account the current driving style of the vehicle (110) driver when predicting the type of deterioration.

[0104] For this purpose, the current driving style of the vehicle (110) driver can be determined for each drive. For example, a reference value or average value of the driving style of multiple drivers in a vehicle group can be determined in advance. For this purpose, while the vehicle is driving along a route, the deviation of the vehicle driver's driving style from the determined reference value or average value of the vehicle group can be determined. The prediction unit (130) can take into account the deviation of the vehicle driver's driving style from the determined reference value when predicting the type of deterioration of the electric drive component.

[0105] In addition, the system, Fig. 2 As described in more detail with reference to [link], when a type of degradation of the driving components (112A, 112B ... 112N) is predicted by the prediction unit (130), the system includes a control unit (140) designed to control the driving components (112A, 112B ... 112N) in a manner expected in relation to the predicted type of degradation so that such predicted type of degradation does not occur.

[0106] In a preferred manner, the drive components (112A, 112B ... 112N) are affected in an expected manner, thereby preventing the predicted type of degradation of the drive components (112A, 112B ... 112N) predicted by the prediction unit (130). This ensures the performance of the entire vehicle (110) system.

[0107] Fig. 2 This exemplarily shows a process for preventing the deterioration (228) of electric drive components (112A, 112B ... 112N) within a vehicle (110) due to the expected influence of drive components (112A, 112B ... 112N).

[0108] The upper diagram shows an elevation profile appearing along a planned route as an exemplary selected road property. The Y-axis (210) exemplarily represents elevation in meters, and the X-axis represents an exemplary route (212). In the central area of ​​the route, a critical area (214) containing a slope of 12% along the route can be seen. In the lower diagram, along the Y-axis (220), the maximum temperature or maximum temperature value of an exemplary drive component of a rotor—that is, the temperature of the rotor—can be seen as an exemplary load index. The X-axis (224) shows an exemplary route corresponding to the elevation profile shown in the upper diagram. The maximum load index of the rotor is the maximum allowable self temperature (222), as indicated by the dashed line. The upper curve (228) shows the temperature profile of the rotor in a deterioration situation as known from the prior art. In this case, deterioration of the rotor occurs when the maximum load index (226) is reached or when the maximum temperature or maximum temperature value is exceeded. In other words, the rotor overheats. Through a suitable function, a situation in which the maximum load index is reached or the maximum or minimum temperature value is exceeded can be detected or determined. As a result, the output of the E-machine is reduced to prevent damage to the rotor due to excessively high temperatures. Such a situation has a significant impact on the driving performance of the vehicle (110).

[0109] The lower curve (232) shows the temperature profile of the rotor that appears along the same path when executing the expected effect on the electric drive components (112A, 112B ... 112N) as described with reference to FIG. 1. At an initial time point (230), a type of degradation (degradation of the E-machine resulting from the rotor's maximum temperature exceeding the expected temperature) is predicted by the prediction unit (130), and accordingly, the control unit (114) controls the vehicle's E-machine so as not to reach the rotor's maximum temperature. For example, premature cooling of the rotor as a component of the E-machine, i.e., as an exemplary drive component, may occur. In this case, the control unit (114) controls, for example, the cooling or cooling unit, so that as a result, cooling of the rotor or E-machine begins at time point (230). By affecting the electric drive components in the expected manner, the predicted type of degradation (226) is avoided.

[0110] One example of affecting electric drive components (112A, 112B ... 112N) is by cooling electric drive components (112A, 112B ... 112N). To avoid predicted types of degradation, the effects on electric drive components (112A, 112B ... 112N) can be applied or occur appropriately for each situation.

[0111] Fig. 3This illustrates an exemplary continuous prediction process of the type of degradation of electric drive components (112A, 112B ... 112N) by the prediction unit (130). The planned route (310) is categorized by the prediction unit (130) with reference to exemplary road properties, namely the slope (320) and temperature of the electric drive components (112A, 112B ... 112N). In this case, the expected speed of the vehicle, which can be determined by a suitable computing unit from, for example, the driver profile of the vehicle (110) user appearing along the route and / or the average value of the vehicle group, may also be considered. The route (310) is divided by the prediction unit (130) into sections by road properties, that is, in this example, sections by slope (320) and sections by expected speed (330). Now, the prediction unit (130) can perform a prediction of the type of deterioration by road attribute by referring to the temperature or temperature value (340) appearing along the planned route (310).

[0112] Fig. 4 This shows an exemplary method (400) for predicting and preventing deterioration of electric drive components (112A, 112B ... 112N) within a vehicle (110), which can be implemented by a system (100) as described with reference to FIGS. 1, 2 and 3.

[0113] The method (400) includes the following steps:

[0114] Step (410) of determining the road properties of the planned route of the vehicle (110) through the determination unit (120);

[0115] Step (420) of continuously predicting the type of deterioration of electric drive components (112A, 112B ... 112N) through a prediction unit (130) by referring to the road attributes determined above; and

[0116] When the type of degradation of the driving components (112A, 112B ... 112N) is predicted by the prediction unit (130):

[0117] A step (430) of controlling the drive components (112A, 112B ... 112N) by a control unit in such a way that the drive components (112A, 112B ... 112N) are affected in an expected manner so that the predicted type of degradation of the drive components (112A, 112B ... 112N) does not occur.

[0118] The electric drive components (112A, 112B ... 112N) include the following:

[0119] - As a high-voltage battery of a vehicle (110), the predicted type of degradation of this high-voltage battery includes the following:

[0120] -- Degradation that may occur due to exceeding or falling short of the predefined critical temperature of the high-voltage battery; and / or

[0121] -- Degradation that may occur due to exceeding or falling short of a predefined critical charge state of a high-voltage battery; and / or

[0122] -- Degradation that may occur due to exceeding or falling short of another suitable predefined threshold operating state value of the high-voltage battery; and / or

[0123] - As an electric machine of a vehicle (110), i.e., an E-machine, in this case, the predicted type of degradation of the E-machine includes degradation that may occur due to exceeding or falling short of a predefined critical temperature of one component of the E-machine; and / or

[0124] - As a drive electronic device of a vehicle (110), in this case, the predicted type of degradation of the drive electronic device includes degradation that may occur due to exceeding or falling short of a predefined critical temperature of the drive electronic device; and / or

[0125] - As a high-voltage wiring harness of a vehicle (110), wherein the predicted type of degradation of the high-voltage wiring harness includes degradation that may occur due to exceeding or falling short of a predefined critical temperature of the high-voltage wiring harness; and / or

[0126] - As another electric drive component of the vehicle (110), the predicted type of degradation of the other electric drive component in this case includes degradation that may occur due to exceeding or falling short of a predefined suitable threshold operating state value of the other electric drive component.

[0127] A process (420) for continuously predicting the type of deterioration includes the following:

[0128] - A process of categorizing planned routes by referring to road attributes, wherein the road attributes include the following:

[0129] - Slope formed along the path; and / or

[0130] - Expected speed of the vehicle (110) along the path; and / or

[0131] - Road type and / or

[0132] - Road surface; and / or

[0133] - Speed ​​limits applied along the route; and / or

[0134] - Curvature of the path; and / or

[0135] - Current obstacles appearing along the path;

[0136] - The process of dividing the route into sections based on road attributes; and

[0137] - A process of predicting the deterioration of electric drive components (112A, 112B ... 112N) within a vehicle (110) according to road attributes.

[0138] The process (420) of continuously predicting the type of degradation of electric drive components (112A, 112B ... 112N) by the prediction unit (130) can be executed by taking into account the current driving style of the vehicle (110) driver.

Claims

Claim 1 A system for predicting and preventing deterioration of electric drive components (112A, 112B ... 112N) within a vehicle (110), comprising: a determination unit (120) designed to determine road properties of a planned route of the vehicle (110); and a prediction unit (130) designed to continuously predict the type of deterioration of electric drive components (112A, 112B ... 112N) within the vehicle (110) by referring to the determined road properties. and when a type of deterioration of the drive components (112A, 112B ... 112N) is predicted by the prediction unit (130), the system includes a control unit (140) designed to control the drive components (112A, 112B ... 112N) in such a way that the predicted type of deterioration of the drive components (112A, 112B ... 112N) does not occur, and the continuous prediction of the type of deterioration by the prediction unit (130) includes: - categorizing the planned route by reference to road attributes; - dividing the route into sections by road attributes; and - predicting the deterioration of the electric drive components (112A, 112B ... 112N) within the vehicle (110) by road attributes, and the prediction unit (130) includes the average energy consumption per section of the route for continuous prediction. A system for predicting and preventing the degradation of electric drive components within a vehicle using an energy map. Claim 2 In claim 1, the electric drive components (112A, 112B ... 112N) comprise a high-voltage battery of a vehicle (110), wherein the predicted type of degradation of the high-voltage battery comprises: -- degradation that may occur due to exceeding or falling short of a predefined critical temperature of the high-voltage battery; and / or -- degradation that may occur due to exceeding or falling short of a predefined critical charge state of the high-voltage battery; and / or -- degradation that may occur due to exceeding or falling short of another suitable predefined critical operating state value of the high-voltage battery; and / or -- an electric machine of the vehicle (110), i.e., an E-machine, wherein the predicted type of degradation of the E-machine comprises degradation that may occur due to exceeding or falling short of a predefined critical temperature of one component of the E-machine; and / or -- a drive electronics of the vehicle (110), wherein the predicted type of degradation of the drive electronics comprises degradation that may occur due to exceeding or falling short of a predefined critical temperature of the drive electronics; A system for predicting and preventing degradation of an electric drive component within a vehicle, comprising: a high-voltage wiring harness of the vehicle (110), wherein the predicted type of degradation of the high-voltage wiring harness includes degradation that may occur due to exceeding or falling short of a predefined threshold temperature of the high-voltage wiring harness; and / or another electric drive component of the vehicle (110), wherein the predicted type of degradation of the other electric drive component includes degradation that may occur due to exceeding or falling short of a predefined suitable threshold operating state value of the other electric drive component. Claim 3 A system for predicting and preventing deterioration of an electric drive component in a vehicle, wherein, in claim 1 or 2, the road properties include: a slope formed along the path; and / or; the expected speed of the vehicle (110) along the path; and / or; the type of road and / or; the road surface; and / or; a speed limit applied along the path; and / or; the curvature of the path; and / or; current obstacles appearing along the path. Claim 4 A system for predicting and preventing deterioration of electric drive components within a vehicle, wherein, in claim 1, the continuous prediction of the type of deterioration of electric drive components (112A, 112B ... 112N) by the prediction unit (130) is executed in consideration of the current driving style of the driver of the vehicle (110). Claim 5 A method (400) for predicting and preventing deterioration of electric drive components (112A, 112B ... 112N) within a vehicle (110), comprising: a step (410) of determining road properties of a planned route of the vehicle (110) through a determination unit (120); and a step (420) of continuously predicting the type of deterioration of electric drive components (112A, 112B ... 112N) through a prediction unit (130) by referring to the determined road properties. and when a type of deterioration of the drive components (112A, 112B ... 112N) is predicted by the prediction unit (130): the method includes the step (430) of controlling the drive components (112A, 112B ... 112N) by the control unit in such a way that the predicted type of deterioration of the drive components (112A, 112B ... 112N) does not occur, and the method of continuously predicting the type of deterioration by the prediction unit (130) includes: - categorizing the planned route by reference to road attributes; - dividing the route into sections by road attributes; and - predicting the deterioration of the electric drive components (112A, 112B ... 112N) within the vehicle (110) by road attributes, and the prediction unit (130) for continuous prediction the average energy per section of the route A method (400) for predicting and preventing the deterioration of electric drive components in a vehicle using an energy map including consumption. Claim 6 In paragraph 5, the electric drive components (112A, 112B ... 112N) comprise a high-voltage battery of a vehicle (110), wherein the predicted type of degradation of the high-voltage battery comprises: -- degradation that may occur due to exceeding or falling short of a predefined critical temperature of the high-voltage battery; and / or -- degradation that may occur due to exceeding or falling short of a predefined critical charge state of the high-voltage battery; and / or -- degradation that may occur due to exceeding or falling short of another suitable predefined critical operating state value of the high-voltage battery; and / or -- an electric machine of the vehicle (110), i.e., an E-machine, wherein the predicted type of degradation of the E-machine comprises degradation that may occur due to exceeding or falling short of a predefined critical temperature of one component of the E-machine; and / or -- a drive electronics of the vehicle (110), wherein the predicted type of degradation of the drive electronics comprises degradation that may occur due to exceeding or falling short of a predefined critical temperature of the drive electronics; A method (400) comprising: a high-voltage wiring harness of a vehicle (110), wherein the predicted type of degradation of the high-voltage wiring harness includes degradation that may occur due to exceeding or falling short of a predefined critical temperature of the high-voltage wiring harness; and / or another electric drive component of the vehicle (110), wherein the predicted type of degradation of the other electric drive component includes degradation that may occur due to exceeding or falling short of a predefined suitable critical operating state value of the other electric drive component. Claim 7 In claim 5 or 6, the road properties include: a slope formed along the path; and / or; the expected speed of the vehicle (110) along the path; and / or; the type of road and / or; the road surface; and / or; a speed limit applied along the path; and / or; the curvature of the path; and / or; current obstacles appearing along the path, method (400). Claim 8 A method (400) in which, in paragraph 5, a continuous prediction of the type of degradation of electric drive components (112A, 112B ... 112N) by the prediction unit (130) is performed in consideration of the current driving style of the vehicle (110) driver.

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