Enhanced fault isolation and mitigation for parasitic load using smart energy center

1. A method of detecting a fault occurring in an electrical system of a vehicle, comprising:

obtaining a measurement of a parameter of an electronic control unit of the electrical system;

determining a parasitic load at the electronic control unit from the measurement of the parameter;

identifying a fault class for the parasitic load based on the measurement;

estimating a drain time for the battery using calculations selected based on the fault class and a current state of charge of the battery; and

controlling an operation of the electronic control unit to mitigate an effect of the drain on the battery based on the fault class when the drain time is less than a time threshold.

2. The method of claim 1 , wherein the fault class is at least one of: (i) a hardware fault; (ii) a software fault; and (iii) a customer-generated fault.

3. The method of claim 1 , wherein estimating the drain time further comprises at least one of: (i) predicting the drain time for a permanent drain; (ii) predicting the drain time for a periodic drain; and (iii) predicting the drain time due to random drain.

4. The method of claim 1 , wherein performing the action further comprises at least one of: (i) changing hardware design of the electronic control unit; (ii) changing a software design of the electronic control unit; and (iii) mitigating a drain on a battery due to the parasitic load.

5. The method of claim 1 , further comprising generating a warning signal when the drain time is greater than the time threshold.

6. The method of claim 1 , further comprising determining the fault class based on a fault signature that includes at least one of: (i) the electronic control unit waking up unexpectedly; and (ii) the electronic control unit not shutting off.

7. The method of claim 1 , further comprising conveying the fault class to a remote server.

8. An electrical system of a vehicle, comprising:

an electronic control unit;

a sensor configured to obtain a measurement of a parameter of the electronic control unit;

a processor configured to:

determine a parasitic load at the electronic control unit from the measurement of the parameter;

identify a fault class for the parasitic load based on the measurement;

estimate a drain time for the battery using calculations selected based on the fault class and a current state of charge of the battery; and

control an operation of the electronic control unit to mitigate an effect of the drain on the battery based on the fault class when the drain time is less than a time threshold.

9. The electrical system of claim 8 , wherein the fault class is at least one of: (i) a hardware fault; (ii) a software fault; and (iii) a customer-generated fault.

10. The electrical system of claim 8 , wherein the processor is further configured to estimate the drain time by performing at least one of: (i) predicting the drain time for a permanent drain; (ii) predicting the drain time for a periodic drain; and (iii) predicting the drain time due to random drain.

11. The electrical system of claim 8 , wherein the action further comprises at least one of: (i) changing hardware design of the electronic control unit; (ii) changing a software design of the electronic control unit; and (iii) mitigating a drain on a battery due to the parasitic load.

12. The electrical system of claim 8 , wherein the processor is further configured to generate a warning signal when the drain time is greater than the time threshold.

13. The electrical system of claim 8 , wherein the processor is further configured to determine the fault class based on a fault signature that includes at least one of: (i) the electronic control unit waking up unexpectedly; and (ii) the electronic control unit not shutting off.

14. The electrical system of claim 8 , further comprising a communication system for conveying the fault class to a remote server.

15. A vehicle, comprising:

an electronic control unit;

a sensor configured to obtain a measurement of a parameter of the electronic control unit;

a processor configured to:

determine a parasitic load at the electronic control unit from the measurement of the parameter;

identify a fault class for the parasitic load based on the measurement; and

estimate a drain time for the battery using calculations selected based on the fault class and a current state of charge of the battery; and

control an operation of the electronic control unit to mitigate an effect of the drain on the battery based on the fault class when the drain time is less than a time threshold.

16. The vehicle of claim 15 , wherein the type of fault class is at least one of: (i) a hardware fault; (ii) a software fault; and (iii) a customer-generated fault.

17. The vehicle of claim 15 , wherein the processor is further configured to estimate the drain time by performing at least one of: (i) predicting the drain time for a permanent drain; (ii) predicting the drain time for a periodic drain; and (iii) predicting the drain time due to random drain.

18. The vehicle of claim 15 , wherein the action further comprises at least one of: (i) changing hardware design of the electronic control unit; (ii) changing a software design of the electronic control unit; and (iii) mitigating a drain on a battery due to the parasitic load.

19. The vehicle of claim 15 , wherein the processor is further configured to generate a warning signal when the estimated discharge time is greater than the time threshold.

20. The vehicle of claim 15 , further comprising a communication system for conveying the fault class to a remote server.