Cooling strategy for battery systems

Patent metadata

Field	Value
Publication number	US-11040624-B2
Application number	US-201816160369-A
Country	US
Kind code	B2
Filing date	Oct 15, 2018
Priority date	Oct 15, 2014
Publication date	Jun 22, 2021
Grant date	Jun 22, 2021

Abstract

Embodiments describe a battery system that includes a first battery module coupled to a regenerative braking system and a control module that controls operation of the battery system by: determining a predicted driving pattern over a prediction horizon using a driving pattern recognition model based in part on a battery current and a previous driving pattern; determining a predicted battery resistance of the first battery module over the prediction horizon using a recursive battery model based in part on the predicted driving pattern, the battery current, a present bus voltage, and a previous bus voltage; determining a target trajectory of a battery temperature of the first battery module over a control horizon using an objective function; and controlling magnitude and duration of electrical power supplied from the regenerative such that a predicted trajectory of the battery temperature is guided toward the target trajectory of the battery temperature during the control horizon.

First claim

The invention claimed is:

1. A tangible, non-transitory, computer-readable medium storing instructions executable by one or more processors of an electrical device, wherein the instructions comprise instructions to:
determine, using the one or more processors, a predicted driving pattern of an automotive vehicle in which a battery module is to be deployed;
predict, using the one or more processors, operational parameters of the battery module expected to occur when the automotive vehicle performs the predicted driving pattern based at least in part on a control scheme implemented by the automotive vehicle;
determine, using the one or more processors, a predicted life span of the battery module based at least in part on a battery life model that describes a relationship between a predicted remaining life span of the battery module and the operational parameters of the battery module expected to occur when the automotive vehicle performs the predicted driving pattern;
determine, using the one or more processors, a battery life span threshold associated with the automotive vehicle; and
indicate, using the one or more processors, that the battery module is suitable to be deployed in the automotive vehicle when the predicted life span of the battery module is greater than or equal to the battery life span threshold associated with the automotive vehicle;

further comprising:
(a) instructions to control, using the one or processors, operation of the automotive vehicle in accordance with the control scheme after the battery module is deployed in the automotive vehicle to facilitate maintaining actual life span of the battery module greater than or equal to the battery life span threshold associated with the automotive vehicle and wherein the instructions to control operation of the automotive vehicle in accordance with the control scheme comprise instructions to:
instruct, using the one or more processors, an electrical generator implemented in an electrical system of the automotive vehicle to adjust voltage, current, or both of electrical power output from the electrical generator;
instruct, using the one or more processors, a relay electrically coupled between battery cells of the battery module and the electrical system to switch to, maintain, or both a closed position;
instruct, using the one or more processors, the relay electrically coupled between the battery cells of the battery module and the electrical system to switch to, maintain, or both an open position; or any combination thereof; or

(b) determine, using the one or more processors, a current age of the battery module based at least in part on a recursive battery model that describes a relationship between the current age of the battery module and previous operational parameters of the battery module; and
determine, using the one or more processors, the predicted life span of the battery module based at least in part on the current age of the battery module and the predicted remaining life span of the battery module; or

(c) wherein:
the instructions to determine the predicted driving pattern comprise instructions to receive the predicted driving pattern from a manufacturer of the automotive vehicle;
the instructions to determine the battery life span threshold comprise instructions to receive the battery life span threshold from the manufacturer of the automotive vehicle; or
both.

2. A tangible, non-transitory, computer-readable medium storing instructions executable by one or more processors of an electrical device, wherein the instructions comprise instructions to:
determine, using the one or more processors, a predicted driving pattern of an automotive vehicle in which a battery module is to be deployed;
predict, using the one or more processors, operational parameters of the battery module expected to occur when the automotive vehicle performs the predicted driving pattern based at least in part on a control scheme implemented by the automotive vehicle;
determine, using the one or more processors, a predicted life span of the battery module based at least in part on a battery life model that describes a relationship between a predicted remaining life span of the battery module and the operational parameters of the battery module expected to occur when the automotive vehicle performs the predicted driving pattern;
determine, using the one or more processors, a battery life span threshold associated with the automotive vehicle; and
indicate, using the one or more processors, that the battery module is suitable to be deployed in the automotive vehicle when the predicted life span of the battery module is greater than or equal to the battery life span threshold associated with the automotive vehicle wherein:
the instructions to predict the operational parameters of the battery module comprise instructions to predict battery current expected to flow through the battery module when the automotive vehicle performs the predicted driving pattern; and
the instructions to determine the predicted life span of the battery module comprise instructions to determine the predicted remaining life span of the battery module based at least in part on the battery current expected to flow through the battery module when the automotive vehicle performs the predicted driving pattern.

3. The tangible, non-transitory, computer-readable medium of claim 2 , wherein:
the instructions to predict the operational parameters of the battery module comprise instructions to determine a predicted trajectory of temperature of the battery module based at least in part on the battery current expected to flow through the battery module when the automotive vehicle performs the predicted driving pattern; and
the instructions to determine the predicted life span of the battery module comprise instructions to determine the predicted remaining life span of the battery module based at least in part on the predicted trajectory of the temperature of the battery module.

4. A method of testing a battery module, comprising:
determining, using processing circuitry, a predicted driving pattern of an automotive vehicle in which a battery module is to be deployed;
predicting, using the processing circuitry, operational parameters of the battery module expected to occur when the automotive vehicle performs the predicted driving pattern based at least in part on a control scheme implemented by the automotive vehicle;
determining, using the processing circuitry, a predicted fuel economy contribution of the battery module based at least on a fuel economy model that describes a relationship between the predicted fuel economy contribution of the battery module and the operational parameters of the battery module expected to occur when the automotive vehicle performs the predicted driving pattern;
determining, using the processing circuitry, a fuel economy contribution threshold associated with the automotive vehicle; and
indicating, using the processing circuitry, that the battery module is suitable to be deployed in the automotive vehicle when the predicted fuel economy contribution of the battery module is greater than or equal to the fuel economy contribution threshold associated with the automotive vehicle;

further comprising:
(a) controlling, using the processing circuitry, operation of the automotive vehicle in accordance with the control scheme after the battery module is deployed in the automotive vehicle to facilitate maintaining actual fuel economy contribution of the battery module greater than or equal to the fuel economy contribution threshold associated with the automotive vehicle; and wherein controlling operation of the automotive vehicle in accordance with the control scheme comprises:
instructing, using the processing circuitry, an electrical generator implemented in an ele

Assignees

• Cps Tech Holdings Llc

Inventors

• Jin Zhihong H
• Sisk Brian C
• Obasih Kem M
• Johnson Mark R
• Wyatt Perry M
• Aliyev Timur L
• Zhang Zhenli

Classifications

• G01R31/392

  Determining battery ageing or deterioration, e.g. state of health · CPC title

• B60L58/26

  by cooling · CPC title

• Y02T10/64

  Electric machine technologies in electromobility · CPC title

• B60L50/10

  using propulsion power supplied by engine-driven generators, e.g. generators driven by combustion engines · CPC title

• H05K7/20145

  Means for directing air flow, e.g. ducts, deflectors, plenum or guides · CPC title