Granted Patent B2

US 12,233,746 · App. 17/774,762 · Granted Feb 25, 2025

Inventors: Sepehr Shirazi (Hannover, DE); Markus Hoh (Wunstorf, DE)

Assignees: Clarios Germany GmbH & Co., KG; Clarios Advanced Solutions GmbH

B60L58/16B60R16/033G01R31/007G01R31/3647G01R31/392

Abstract

Claims (25)

1. A method for predicting a capability of an electrical energy storage system to be able to start a vehicle engine of a specific vehicle make, a specific vehicle model and/or a specific vehicle variant, wherein the electrical energy storage system is a motor vehicle starter battery, and wherein the method comprises the following:

generating engine-start data, with at least one sensor electrically coupled to the electrical energy storage system, which are characteristic of the electrical energy storage system;

calculating a predicted start capability of the electrical energy storage system through application of the generated engine-start data to an engine-start prediction algorithm, positioned within an evaluation device, having historical engine start data for different vehicle make and vehicle models and comparison of the generated engine start data to the historical engine start data pursuant to a principle of machine learning; and

outputting a result of the calculation to a display, which result relates to a prediction with respect to the capability of the electrical energy storage system to be able to start a vehicle engine of a specific vehicle make, a specific vehicle model and/or a specific vehicle variant based upon the calculation for an increased accuracy in the prediction,

wherein the specific vehicle make, the specific vehicle model and/or the specific vehicle variant of a vehicle to be started by the electrical energy storage system is taken into account in order to calculate the generated engine-start data, wherein a temperature or a temperature range of a vehicle engine to be started by the electrical energy storage system is taken into account in order to calculate the generated engine-start data, and wherein the output result of the calculation relates to a prediction with respect to the capability of the electrical energy storage system to be able to start a vehicle engine of a specific vehicle make, a specific vehicle model and/or a specific vehicle variant at different temperatures of the vehicle engine; and

further wherein the capability of the electrical energy storage system to be able to start a vehicle engine of a specific vehicle make, a specific vehicle model and/or a specific vehicle variant is a capability of the electrical energy storage system to be able to cold-start or warm-start a vehicle engine of the vehicle make taken into account in the calculation, the vehicle model taken into account in the calculation and/or the vehicle variant taken into account in the calculation.

2. The method as claimed in claim 1 , wherein the engine-start data which are characteristic of the electrical energy storage system comprise at least one engine-start voltage and/or at least one engine-start voltage profile of the electrical energy storage system.

3. The method as claimed in claim 2 , wherein the engine- start data which are characteristic of the electrical energy storage system comprise a temperature of the electrical energy storage system when the at least one engine-start voltage is generated and/or when the at least one engine-start voltage profile is generated; and/or

wherein the engine-start data which are characteristic of the electrical energy storage system comprise state of charge data of the electrical energy storage system when the at least one engine-start voltage is generated and/or when the at least one engine-start voltage profile is generated.

4. The method as claimed in claim 1 , wherein the engine-start data which are characteristic of the electrical energy storage system comprise at least one minimum value of a voltage of the electrical energy storage system during an engine start, an engine-start time which is dependent in particular on a state of charge of the electrical energy storage system, and/or a number of engine starts already carried out by the electrical energy storage system.

5. The method as claimed in claim 1 , wherein the engine-start data which are characteristic of the electrical energy storage system are generated by the at least one sensor arranged in particular in the vehicle to be started by the electrical energy storage system.

6. The method as claimed in claim 1 , wherein the engine-start data which are characteristic of the electrical energy storage system are generated and/or provided by a vehicle diagnostic system of the vehicle to be started by the electrical energy storage system for calculation, and/or

wherein the engine-start data which are characteristic of the electrical energy storage system are generated and/or provided by the at least one sensor which is preferably galvanically connected directly to an electrical connection of the electrical energy storage system.

7. The method as claimed in claim 1 , wherein the capability of the electrical energy storage system to be able to start a vehicle engine of a specific vehicle make, a specific vehicle model and/or a specific vehicle variant is indicative of a number of vehicle engine start processes which can still be carried out successfully by way of the electrical energy storage system.

8. The method as claimed in claim 1 , wherein the engine-start data are input into the engine-start prediction algorithm based on a principle of machine learning in order to calculate the generated engine-start data.

9. The method as claimed in claim 1 , wherein in order to calculate the generated engine-start data, the engine-start data are input into an engine-start data prediction algorithm, in which the engine-start data are divided according to classifications into different categories, which differ in characteristics patterns.

10. The method as claimed in claim 9 , wherein the engine-start data are divided into different categories depending on a vehicle make, a vehicle model and/or a vehicle variant of the vehicle to be started by the electrical energy storage system.

11. The method as claimed in claim 1 , wherein the method further comprises the method step of performing a learning phase of an engine-start prediction algorithm, wherein learning data are input into the engine-start prediction algorithm in the learning phase, and wherein the engine-start prediction algorithm identifies patterns and/or regularities in the input learning data, which patterns and/or regularities are used accordingly when calculating the generated engine-start data.

12. The method as claimed in claim 11 , wherein the learning data comprise characteristic engine-start data for a large number of electrical energy storage systems, in particular those that have aged differently, from a large number of different vehicle makes, vehicle models and/or vehicle variants.

13. The method as claimed in claim 11 , wherein the generated engine-start data of the electrical energy storage system whose engine-start performance is to be predicted are used as learning data during a learning phase of the engine-start prediction algorithm.

14. A system for predicting a capability of an electrical energy storage system to be able to start a vehicle engine of a specific vehicle make, specific vehicle model and/or a specific vehicle variant, wherein the electrical energy storage system is a motor vehicle starter battery, wherein the system comprises an input interface being an access for an input of generated engine-start data which are characteristic of the electrical energy storage system, the input interface comprising at least one sensor electrically coupled to the electrical energy storage system, and an evaluation device having a calculation of a predicted start capability of the electrical energy storage system through an engine-start prediction algorithm, housed in the evaluation device, having the generated engine-start data with respect to a learned engine-start data for an increased accuracy in the predicted start capability pursuant to a machine learning, wherein the evaluation device is designed to take into account a vehicle make, a vehicle model and/or a vehicle variant of a vehicle to be started by the electrical energy storage system when calculating the generated engine-start data,

wherein a temperature or a temperature range of a vehicle engine to be started by the electrical energy storage system is taken into account in order to calculate the generated engine-start data, and wherein an output result of the calculation relates to a prediction with respect to the capability of the electrical energy storage system to be able to start a vehicle engine of a specific vehicle make, a specific vehicle model and/or a specific vehicle variant at different temperatures of the vehicle engine; and

further wherein the capability of the electrical energy storage system to be able to start a vehicle engine of a specific vehicle make, a specific vehicle model and/or a specific vehicle variant is a capability of the electrical energy storage system to be able to cold-start or warm-start a vehicle engine of the vehicle make taken into account the calculation, the vehicle model taken into account in the calculation and/or the vehicle variant taken into account in the calculation.

15. The system as claimed in claim 14 , wherein the evaluation device comprises the engine-start prediction algorithm based on a principle of machine learning.

16. The system as claimed in claim 14 , wherein the system comprises an output interface for outputting a result of the calculation carried out by the evaluation device.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (21)