Advanced thermal control for SSD

Patent metadata

Field	Value
Publication number	US-11755085-B2
Application number	US-202217848138-A
Country	US
Kind code	B2
Filing date	Jun 23, 2022
Priority date	Mar 13, 2017
Publication date	Sep 12, 2023
Grant date	Sep 12, 2023

Abstract

A storage system with temperature control. The system includes a plurality of storage devices such as solid state drives, a system controller such as a baseboard management controller, and one or more cooling fans. Each storage devices includes a controller configured to estimate the heat load in the storage device and/or an effective temperature, resulting from operations performed in the storage device. The system controller employs active disturbance rejection control to adjust the fan speed based on the estimated heat loads, the estimated temperatures, and/or the sensed internal temperatures, of the storage devices.

First claim

What is claimed is:

1. A storage system, comprising:
at least one storage device; and
a system management processing circuit configured to:
monitor storage operation commands received by the at least one storage device to measure a rate of storage operations executed by the at least one storage device; and
adjust a temperature based on the measured rate of storage operations.

2. The storage system of claim 1 , wherein the rate is based, at least in part, on a number of storage operations per unit time executed by the at least one storage device.

3. The storage system of claim 1 , wherein the rate is based, at least in part, on a weighted average of different storage operations executed by the at least one storage device, weights being applied according to an amount of energy that the storage operations dissipate in the at least one storage device.

4. The storage system of claim 1 , wherein the storage operations includes at least one of a read operation, a write operation, or an erase operation.

5. The storage system of claim 1 , wherein the at least one storage device comprises a storage device processing circuit, configured with the system management processing circuit to adjust the temperature based on the measured rate of storage operations.

6. The storage system of claim 5 , wherein the storage device processing circuit is configured to estimate a power dissipated in the at least one storage device.

7. The storage system of claim 6 , wherein the storage device processing circuit is configured to estimate an effective temperature in the at least one storage device.

8. The storage system of claim 1 , wherein the at least one storage device comprises a storage device processing circuit configured to implement an artificial neural network configured to estimate an effective temperature in the at least one storage device.

9. The storage system of claim 8 , wherein the artificial neural network comprises a first output node configured to output an estimated heat load, and a second output node configured to output an estimated effective temperature.

10. The storage system of claim 8 , wherein the system management processing circuit is configured to receive the estimated effective temperature in the at least one storage device, and to generate, based on the estimated effective temperature, a control command to adjust the temperature.

11. The storage system of claim 10 , wherein the control command corresponds to a fan speed command.

12. The storage system of claim 1 , wherein the at least one storage device is a solid state drive.

13. A method for operating a storage system, the storage system comprising:
at least one storage device; and
a system management processing circuit,
the method comprising:
monitoring storage operation commands received by the at least one storage device to measure a rate of storage operations executed by the at least one storage device; and
adjusting a temperature based on the measured rate of storage operations.

14. The method of claim 13 , wherein the rate is based, at least in part, on a number of storage operations per unit time executed by the at least one storage device.

15. The method of claim 13 , wherein the rate is based, at least in part, on a weighted average of different storage operations executed by the at least one storage device, weights being applied according to an amount of energy that each of the different storage operations dissipates in the at least one storage device.

16. The method of claim 13 , wherein the storage operations includes at least one of a read operation, a write operation, or an erase operation.

17. A method for operating a storage system, the storage system comprising:
at least one storage device; and
a system management processing circuit,
the method comprising:
monitoring storage operation commands received by the at least one storage device to measure a rate of storage operations executed by the at least one storage device; and
adjusting a temperature based on the measured rate of storage operations, wherein the adjusting of the temperature comprises:
estimating, utilizing a neural network, a heat load corresponding to the measured rate of storage operations;
estimating an effective temperature of the at least one storage device; and
generating a control command utilizing active disturbance rejection control to adjust the temperature.

18. The method of claim 17 , wherein the control command corresponds to a fan speed command.

19. The method of claim 17 , further comprising training the neural network while the storage system is offline.

20. The method of claim 19 , wherein the training comprises:
executing, by the at least one storage device, different storage operations;
monitoring a temperature of the at least one storage device executing the different storage operations; and
generating a mapping of a relationship between the different storage operations and the temperature.

Assignees

• Samsung Electronics Co Ltd

Inventors

• Ping Zhan

Classifications

• G11C7/04 Primary

  with means for avoiding disturbances due to temperature effects · CPC title

• G06F1/206 Primary

  comprising thermal management · CPC title

• F04D27/004

  by varying driving speed · CPC title

• F05D2270/709

  with neural networks · CPC title

• F05D2270/706

  proportional-integral-differential · CPC title