# US 11,444,338 B1 · Smart battery system

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- Number: US 11,444,338 B1
- Document ID: US11444338B1
- Status: Granted
- Kind: B1
- Application number: 17/538,125
- Filed: 2021-11-30
- Granted: 2022-09-13
- Earliest claimed: 2021-11-30
- Assignees: Knoetik Solutions, Inc.
- Applicants: Knoetik Solutions, Inc.
- Inventors: Kyra Dhawan; Kian Dhawan
- Web page: https://patentgrep.com/patent/US11444338B1

## CPC

- H01M 10/4257: {Smart batteries, e.g. electronic circuits inside the housing of the cells or batteries}
- B60L 3/0046: {relating to electric energy storage systems, e.g. batteries or capacitors}
- B60L 50/64: Constructional details of batteries specially adapted for electric vehicles
- B60L 58/12: responding to state of charge [SoC]
- H01M 10/48: Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte (constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569)
- H01M 10/486: {for measuring temperature}
- H01M 50/569: Constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals (battery terminal connectors with integrated measuring arrangements G01R31/364)
- B60L 2240/545: Temperature
- H01M 10/625: Vehicles
- H01M 10/63: Control systems (charging or discharging in response to temperature H01M10/44 {, H01M10/443}; measurement of temperature H01M10/48 {, H01M10/486})
- H01M 2010/4271: {Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing}
- H01M 2010/4278: {Systems for data transfer from batteries, e.g. transfer of battery parameters to a controller, data transferred between battery controller and main controller}
- H01M 2220/20: Batteries in motive systems, e.g. vehicle, ship, plane
- Y02T 10/70: Energy storage systems for electromobility, e.g. batteries
- Y02T 10/7072: Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
- Y02T 90/12: Electric charging stations
- Y02T 90/16: Information or communication technologies improving the operation of electric vehicles
- H01M: PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- B60L: PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES (arrangements or mounting of electrical propulsion units or of plural diverse prime-movers for mutual or common propulsion in vehicles B60K1/00, B60K6/20; arrangements or mounting of electrical gearing in vehicles B60K17/12, B60K17/14; preventing wheel slip by reducing power in rail vehicles B61C15/08; dynamo-electric machines H02K; control or regulation of electric motors H02P); SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES (electric coupling devices combined with mechanical couplings of vehicles B60D1/64; electric heating for vehicles B60H1/00); ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL (control or regulation of electric motors H02P); MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- Y02T: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION

## Abstract

The present invention discloses a system comprising: a rechargeable energy storage battery system comprising a monitoring module and an Internet of Things (IoT) based control module; a block chain network; a processor; and a tangible non-transitory memory; wherein system is operable to receiving periodically by a smart battery management platform, battery related information and one or more environment factors; extracting, processing and analyzing, the battery related information to retrieve a real-time feature of the rechargeable energy storage battery system and the one or more environment factors affecting the battery life and the battery performance by a smart battery management platform; predicting in real-time battery health and life status by the smart battery management platform; rendering using immersive technology, real-time simulated display of situational awareness by a battery management platform; and sending a control signal to the IoT based control module of the rechargeable energy storage battery system.

## Claims

### Claim 1

A system, comprising:
a rechargeable energy storage battery system of an electric vehicle comprising a monitoring module and an Internet of Things (IoT) based control module;
a block-chain network;
a processor;
a tangible non-transitory memory, configured to communicate with the processor, wherein the tangible non-transitory memory has stored thereon instructions executable by the system to cause the system to perform operations comprising:
connecting the monitoring module and the Internet of Things based control module of the rechargeable energy storage battery system of the electric vehicle, to a battery management platform and the block-chain network that includes a plurality of charging station nodes;
receiving periodically by the battery management platform, battery related information and one or more environment factors that is affecting battery life and battery performance;
extracting, processing, and analyzing, the battery related information to retrieve a real-time feature of the rechargeable energy storage battery system and the one or more environment factors affecting the battery life and the battery performance by the battery management platform;
predicting in real-time, by the battery management platform, battery health and life status by the battery management platform;
rendering using immersive technology, real-time simulated display of situational awareness by the battery management platform; and
sending a control signal to the IoT based control module of the rechargeable energy storage battery system by the battery management platform;
receiving periodically a geospatial information, a driving pattern, a battery usage information, traffic information, historical information stored onto a first blockchain ledger with a first timestamp, and a personal input comprising a battery identification;
storing the real-time feature of the rechargeable energy storage battery system with a second timestamp onto a second blockchain ledger; and
comparing, by the battery management platform, the real-time feature of the rechargeable energy storage battery system with the second timestamp against the historical information stored onto the first blockchain ledger based on battery identification and the first timestamp.

### Claim 2 (depends on 1)

The system of claim 1, wherein the rechargeable energy storage battery system comprises at least one of a lithium-ion battery, a lithium iron phosphate battery, a nickel-metal hydride battery, a nickel cobalt aluminum battery, a nickel manganese cobalt battery, an iron-based battery, a sodium-ion battery, a graphene-based battery, a lead-acid battery, and an ultracapacitor.

### Claim 3 (depends on 1)

The system of claim 1, wherein the battery related information comprises at least one of a charging voltage, a discharging voltage, a current value, an insulation value, a resistance value, a power, a capacitance, an acquisition time of a battery service cycle, a battery warming characteristic, a vehicle characteristic.

### Claim 4 (depends on 1)

The system of claim 1, wherein the battery health and life status comprise at least one of a battery performance, a health indicator, a battery lifespan, an existing charge, an energy capacity, a real-time range, a remaining range and one or more battery faults of the rechargeable energy storage battery system.

### Claim 5 (depends on 1)

The system of claim 1, wherein the control signal comprises at least one of a temperature regulation signal, a heat regulation signal, a heat utilization signal, a self-charging signal, a cell pack switching signal and an on-off switching signal.

### Claim 6 (depends on 1)

The system of claim 1, wherein the monitoring module comprises a sensor array and an IoT device interface.

### Claim 7 (depends on 1)

The system of claim 1, wherein the IoT based control module comprises at least one of a smart thermal management system, a smart energy management system, a charging management system, and a cell pack switching system.

### Claim 8 (depends on 1)

The system of claim 1, is further operable to detect an anomaly.

### Claim 9 (depends on 1)

The system of claim 1, is further operable to providing notification and decision-making support information.

### Claim 10 (depends on 1)

The system of claim 1, is further operable to detect a failover.

### Claim 11 (depends on 10)

The system of claim 10, is further operable to enable a switchover after detecting the failover.

### Claim 12 (depends on 1)

The system of claim 1, is further operable to fine tuning of a charge curve of a fast-charging session using a pre-trained machine learning model.

### Claim 13 (depends on 9)

The system of claim 9, wherein the extracting, the predicting, the rendering, and the providing is performed by at least one of a statistical analysis, a deep-learning algorithm via a neural network architecture, an artificial intelligence platform, and a risk-based analysis executing on a cloud-computing platform.

### Claim 14 (depends on 1)

The system of claim 1, is further operable to locating a nearest charging station and a fully charged battery in a nearest network.

### Claim 15 (depends on 1)

The system of claim 1, is further operable to provide by the battery management platform, at least one of a safety precaution, a disaster impact, and a disaster recovery to support a real-time decision making.

### Claim 16

A process, comprising:
connecting a monitoring module and an Internet of Things (IoT) based control module of a rechargeable energy storage battery system of an electric vehicle, to a battery management platform and a block-chain network that includes a plurality of charging station nodes;
receiving periodically by the battery management platform, battery related information and one or more environment factors affecting battery life and battery performance;
extracting, processing, and analyzing, the battery related information to retrieve a real-time feature of the rechargeable energy storage battery system and the one or more environment factors affecting the battery life and the battery performance;
predicting in real-time, by the battery management platform, battery health and life status;
rendering using immersive technology, real-time simulated display of situational awareness;
sending a control signal to the IoT based control module of the rechargeable energy storage battery system;
receiving periodically a geospatial information, a driving pattern, a battery usage information, traffic information, historical information stored onto a first blockchain ledger with a first timestamp, and a personal input comprising a battery identification;
storing the real-time feature of the rechargeable energy storage battery system with a second timestamp onto a second blockchain ledger; and
comparing, by the battery management platform, the real-time feature of the rechargeable energy storage battery system with the second timestamp against the historical information stored onto the first blockchain ledger based on battery identification and the first timestamp; and
wherein the process is configured for managing the rechargeable energy storage battery system via one of a battery charging station and a battery service station.

### Claim 17 (depends on 16)

The process of claim 16, wherein the rechargeable energy storage battery system comprises at least one of a lithium-ion battery, a lithium iron phosphate battery, a nickel-metal hydride battery, a nickel cobalt aluminum battery, a nickel manganese cobalt battery, an iron-based battery, a sodium-ion battery, a graphene-based battery, a lead-acid battery, a smart material-based battery, and an ultracapacitor.

### Claim 18

A non-transitory computer readable medium comprising instructions, that when read by a processor, cause the processor to perform:
connecting a monitoring module and an Internet of Things (IoT) based control module of a rechargeable energy storage battery system of an electric vehicle, to a battery management platform and a block-chain network that includes a plurality of charging station nodes;
receiving periodically by the battery management platform, battery related information from the rechargeable energy storage battery system and one or more environment factors affecting battery life and battery performance;
extracting, processing, and analyzing, the battery related information to retrieve a real-time feature of the rechargeable energy storage battery system and the one or more environment factors affecting the battery life and the battery performance;
predicting in real-time, by the battery management platform, battery health and life status by the battery management platform;
rendering using immersive technology, real-time simulated display of situational awareness by the battery management platform; and
sending a control signal to the IoT based control module of the rechargeable energy storage battery system by the battery management platform;
receiving periodically a geospatial information, a driving pattern, a battery usage information, traffic information, historical information stored onto a first blockchain ledger with a first timestamp, and a personal input comprising a battery identification;
storing the real-time feature of the rechargeable energy storage battery system with a second timestamp onto a second blockchain ledger; and
comparing, by the battery management platform, the real-time feature of the rechargeable energy storage battery system with the second timestamp against the historical information stored onto the first blockchain ledger based on battery identification and the first timestamp.
