V1.0 | 2019-03-26

The vehicle as a source for data analytics: An Overview

Over-The-Air Data Collection

2

The basic problem

OTA Data Collection

Component Developer Vehicle(s)

DataCollectionRequest

CollectedData

Question

Answer

Scope:

On-demand data

Time-limited query

Targets large fleets

Minimal impact on vehicle

No impact for customer

Minimal impact on OTA bandwidth

3

Overview & Challenges

OTA Data Collection

ComponentDeveloper

Vehicle(s)

QueryFormulation

DeploymentConfiguration

Ingestion

LogicalPlan

PhysicalPlan(s)

SelectedData

Analytics

Scoping

CollectionRequest(s)

CollectedData

CollectedData

Answer

Question

Storage

Rollout

VehicleConfiguration(s)

QueryTarget(s)

4

Component Developer

Investigate issues with an existing component

Gain insight to improve components

Use tools already known from development

Augment tooling for deployment

Query Formulation

OTA Data Collection

Data Scientist

Gain knowledge for strategic or operative decisions

Gain knowledge over a fleet of vehicles

Support component developer on advanced queries

Use tooling common in data science

5

Component Developer

Manual analysis on gathered data

Use known tooling for analysis

Needs support for selecting data to analyze

Augment tooling with machine learning

Data Analytics

OTA Data Collection

Data Scientist

Perform queries on gathered data

Apply machine learning to gathered data

Use tooling common in data science

Needs domain knowledge from component developers

6

Overview & Challenges

OTA Data Collection

ComponentDeveloper

Vehicle(s)

QueryFormulation

DeploymentConfiguration

Storage

LogicalPlan

PhysicalPlan(s)

AggregatedData

Analytics

Scoping

CollectionRequest(s)

CollectedData

CollectedData

Answer

Question Rollout

Ingestion

VehicleConfiguration(s)

QueryTarget(s)

7

Core Challenges

Bridge technology gap

Availability concerns

Connectivity

Security

Query Rollout & Data Ingestion

OTA Data Collection

EU

Asia

Rollout

Ingestion

Backend Vehicle

8

Overview & Challenges

OTA Data Collection

ComponentDeveloper

Vehicle(s)

QueryFormulation

DeploymentConfiguration Rollout

IngestionStorage

LogicalPlan

PhysicalPlan(s)

AggregatedData

Analytics

Scoping

CollectionRequest(s)

CollectedData

CollectedData

Answer

Question

VehicleConfiguration(s)

QueryTarget(s)

9

In-Vehicle Overview

OTA Data Collection

Rollout

Ingestion CollectedData

ConfigurationCollectionRequest

Data Collection

CollectionRequest

Validation

Aggregation CollectedData

Reduction CollectedData

10

ECU

CommECU

In-Vehicle Data Sources

OTA Data Collection

GWECU

ECU

ECU

CAN:FramesPDUsSignals

SOA:EventsPDUsSignals

CAN

CANSOA

ETH

SOA

ETH

ETH:FramesPacketsPayloads

ECU:DiagnosticsRTE

ECU

11

CommECU

In-Vehicle Data Sources

OTA Data Collection

GWECU

ECU

ECU

ECU

ECU

Core Constraints

Bandwith on network/bus

OTA bandwidth

CPU load

Memory (buffering)

Core Requirements

Vehicle must be in control

Specification of limitations

Specification of conditions

Persistency

12

Storage

Overview & Challenges

OTA Data Collection

ComponentDeveloper

IngestionStorage

LogicalPlan

PhysicalPlan(s)

AggregatedData

Analytics

Scoping

CollectionRequest(s)

CollectedData

CollectedData

Answer

Question

VehicleConfiguration(s)

QueryTarget(s)

QueryFormulation

DeploymentConfiguration Rollout

Vehicle(s)

13 © 2019. Vector Informatik GmbH. All rights reserved. Any distribution or copying is subject to prior written approval by Vector. V1.0 | 2019-03-26

Author:Gerlach, OliverVector Germany

For more information about Vectorand our products please visit

www.vector.com