The Software Revolution and the Future of In-Vehicle Electronics
In the past 10 years, vehicle complexity has increased exponentially. Among factors keeping strategists and development engineers awake along the entire automotive supply chain:
Electric/Electronic (E/E) Architecture: A New Holistic Approach
The increasing number of ECUs in the car, driven by advanced in-vehicle applications and functions, needs to be reduced drastically to meet tight control costs and development-time targets, as well as to decrease system complexity without compromising or limiting vehicle functionality.
As a result, some hardware consolidation will be required to ease implementation of complex and cross-domain functions and to package into space-restricted vehicles the additional components required. The size of ECUs and the number of connections they require are especially challenging in the application of ADAS technology.
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High Bandwidth Memory
High Performing System on Chip (SoC)
OTA
4G/5G data connection
Artificial Intelligence (AI)
Trusted secure elements
Sensor fusion (Camera/Lidar/radar)
For instance, a 2019 Quocirca survey found only about half
(51 percent) of organizations have a formal print security policy, and just 48 percent apply regular firmware updates.
2019 Quocirca survey
companies that apply regular firmware updates
48%
companies that have a formal print security policy
51%
For instance, a 2019 Quocirca survey found only about half
(51 percent) of organizations have a formal print security policy, and just 48 percent apply regular firmware updates.
2019 Quocirca survey
security risks related to print
print as a top 5 cyber risk
0
20
40
60
80
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The primary objective in design and engineering has been to serve the driver by maximizing performance and creating a cockpit that was both functional and comfortable.
However, in the past few years attention has shifted away from less basic features and toward more advanced and attractive instrument clusters, large central displays with multi-functionality and advanced driver assistance systems (ADAS) technology aimed at maximizing safety.
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2025: A Transformative Year for In-Vehicle System Electronics
Automakers and suppliers are lining up their businesses around a much broader concept of mobility and looking at the automotive market as a complex ecosystem comprising several heterogeneous domains with which the connected vehicle already is – or soon will – the interface.
These domains include public-cloud servers and storage and on-premises datacenters for the OEM’s back-end, R&D and manufacturing operations.
As mobility concepts evolve further, that vehicle-infrastructure interaction will include communication with intelligent transportation systems (ITS) and a series of “smart domains” such as smart grid, smart city or smart home.
Future-proof architecture
45%
Software Architecture
38%
Security
38%
In-vehicle networking
38%
Microservices
11%
Storage
7%
The following applications offer top data monetization opportunities for OEMs.
Market Trends
This growing system complexity onboard vehicles is taking traditional E/E architectures to their limit.
The Aftermath
Today, automotive electronics systems are quite complex, consisting of a significant number of electronic control units (ECUs). In advanced vehicles, the number can be close to 100, and overall, these ECUs generate and must manage huge amounts of data as they process multiple signals and variables generated from systems throughout the entire vehicle.
The software structure that underpins today’s vehicles is not the well-defined modular architecture well established in the IT industry, making updates difficult. Even a simple addition in functionality traditionally has required a complex redesign and requalification process, impacting both development time and costs. Any system modification made affects not only the hardware portion of the control unit but also the “monolithic” piece of software that runs an entire function.
Automakers desire future-proof and flexible E/E system architectures that easily can adjust to new features and requirements of next-generation vehicles.
The aim is a new future-proof architecture that will limit development and maintenance costs, be mostly reusable from generation to generation and adjust and comply with new, tighter safety regulations and emissions standards.
The Need
The new functionality found in future vehicles no longer will be all about hardware; instead the industry is entering the “software-defined everything” era.
Hardware, however, will continue to play an essential role. The advance in silicon components and technologies such as AI allow extreme performance to be achieved that will enable even more functionalities and hardware centralization in the future.
As already implemented by some OEMs, such consolidation can be achieved by integrating functionality (and entire ECUs) into a single high-performing domain controller whether for cockpit, powertrain, ADAS or autonomy functions.
Soon, but still beyond 2025, further consolidation is expected that will enable centralized high-performance computers to run processes and functions across several – potentially all – the functional automotive domains.
The Solution: Evolution in Hardware and Software Modules
Several transformative technologies such as 5G, AI, edge and cloud computing and sensor fusion are enabling the required progression toward future-proof platforms in automotive.
Connectivity and 5G are fundamental to ensuring low latency and high bandwidth data sharing. Broadband technologies will enable reliable communication among vehicles and infrastructure for data exchange, supporting updates to autonomous-driving features and ensuring real-time operation in safety critical applications.
The Enablers
Clear and explicit service documentation
25%
Focus on data rather
than actions
28%
Reuse of functionality
32%
Flexible service distribution to electronic control units (ECUs)
or cloud servers
41%
Hierarchical in-vehicle function and software architecture
42%
Continuous service integration and delivery
57%
With highly centralized domain controllers, by 2025 the service-oriented architecture (SOA) will hit the mass market and become a cornerstone of:
The Short-Term Outcome: Service-Oriented Architectures on Centralized Hardware
Encapsulated and independent service behavior
17%
Top reported drivers paving the way for the implementation of service-oriented architectures (SOA) and micro-service architectures (MSA).
Click to see what are the top software development areas for vehicles
The essential enabling technologies for vehicles in the next 10 years.
Technology and shifting market dynamics are driving fundamental change in the way the automotive industry approaches designing, developing and delivering mobility solutions:
Conclusion
Digitalization and connectivity are making industry back-end operations and overall infrastructure key contributors to how vehicles function. Manufacturers aim to control and secure – end-to-end – the entire value chain, from manufacturing, testing and validation, production and certification to maintenance, mobility services and software updates, throughout the vehicle´s lifetime.
New SOA architectural approaches inside and outside the vehicle will transform the entire automotive value chain and allow OEMs and suppliers to better address these shifting business models and draw from new profit pools.
The entire industry is moving its center of gravity from ownership and in-vehicle functionality to a broader and hyper-connected mobility ecosystem that relies heavily on software and data.
Among the key domains driving such technology innovation and contributing to the business revolution: autonomy, connectivity, mobility services and electrification. These sectors offer diversified paths to increase profit along the value chain by boosting revenue and reducing costs.
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33%
Not a Priority
15%
2022
30%
2025
13%
2030
8%
2027
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Learn more about the revolution
Since its inception more than a century ago, the auto industry’s focus has been limited largely to the vehicle itself.
Top-ranked vehicle electrical and electronic system challenges.
(Limited to three choices)
Security and safety concerns
Need for adequate in-vehicle networking technologies and bandwidth in data transmission
Increased interaction among electronic control units
Maintenance
Development costs
Competence in software and data analytics
Shorter time to market
Obsolescence of functionality during vehicle’s lifetime
Future-proof also means OEMs will run updates during a vehicle’s lifetime to avoid obsolescence and maintain a relevant user experience more on pace with adjacent sectors such as IT and Consumer Electronics.
Moreover, frequent updates in software and functionality are essential to coping with fast-developing and dynamic technologies such as AI and cybersecurity.
End-to-end Security
Human Machine interface
ADAS/safety level 2-3
Perception
Maintenance/Diagnosis
Autonomous driving level 4-5
Logging and Analysis (EDR)
CRM and Service Offer
In-vehicle app store
70%
61%
60%
43%
39%
35%
31%
15%
13%
27%
37%
36%
51%
57%
51%
59%
61%
47%
3%
3%
4%
5%
4%
13%
9%
23%
40%
Very Important
Important
Not Important
46%
2025
4%
Never
39%
2030
11%
2035
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Cyber
Security
Networked
ECUs
Wired
Harness
Data
Scalable Hardware & Service
Oriented Architecture
Backend
Infrastructure
Processing
Power
Human Machine
Interface
ADAS
& Safety
CO2
Emission
Data
Bandwidth
System
LifeCycle
New Feature
Rate
Machine
Learning
Iot & Cloud
Connectivity
Development
Cost
Complexity Explosion
Disrupting Industry Trend
Next Gen SYSTEMS
Modular HW
Open-Source SW
+
Cellular Vehicle to Everything (C-V2X)
Centralized Server
Front Left
Gateway
Gateway
Gateway
Gateway
Gateway
Gateway
Central Processing
Unit
Central Processing
Unit
Sensor and Actuator
Ethernet
TSN
Central Core Controller plus Zonal Gateway
Click to see which technologies are
rated as most important
5G / Private networks
Robotics
Edge computing
AR/VR
Quantum computing
Blockchain
51%
39%
38%
32%
23%
19%
Very Important
41%
48%
53%
55%
53%
49%
Important
8%
13%
9%
13%
24%
32%
Not Important
AI is essential for data crunching and value creation and is widely seen as the technology that can deliver the performance required for perception and sensor fusion necessary for autonomous vehicles (AVs). A reliable fusion of input from different sensors is in fact imperative to achieving an accurate perception of the vehicle driving environment under all circumstances: traffic, weather, speed and time of day.
Finally cloud and edge data centers are critical tools to achieving operational scale in storage and analytics.
Continuous integration of services and applications
Controlling skyrocketing amounts of SW code-lines
Ensuring faster development and time to market
Optimization of updates, quality enhancements and vehicle lifecycle
Enabling software reusability
Simplifying safety systems certification (ISO26262)
Enhancing HW utilization, considering legacy ECU
Service Library (Apps Store)
(RT)OS A
Middeleware A
(RT)OS B
Middeleware n
Software
Module A
Software
Module B
(RT)OS n
Middeleware B
HighEnd A
Middle-end A
HighEnd B
Middle-end n
HighEnd n
Middle-end B
Lowend A
Lowend B
Software
Module n
HW Store
Lowend n
E/E System Configuration
OEM's functional specification
Middleware C
HighEnd A
Software
Module n
Software
Module B
Software
Module C
Body
Chassis
IVI
(RT)OS A
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Industry Insights Toolkit
When will you deploy a new
in-vehicle architecture?
When will SOA (Service - Oriented Architecture) appear in vehicle software architectures?
In-vehicle health monitoring
30%
In-vehicle digital experiences (entertainment, m-commerce)
39%
Smart charging grid
40%
Integrated transport & mobility services
44%
Over the air feature upgrades
46%
Smart city services
(parking, tolls, fines)
54%
Memory Bandwidth
3%
Compute power
14%
That shift is continuing, with even more advanced ADAS systems, new levels of connectivity and in-car functionality becoming the norm. And the traditional view that the automotive business is solely about the vehicle itself no longer applies.
The industry now is keenly focused on the strategic importance of technology, the number of semiconductors required to support those advanced systems, the role of software and applications and the power of artificial intelligence (AI) algorithms.
Respondent Count:
302
Importance of the top software development areas for vehicles
Which technologies are rated as most important
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Gateway
Front Right
Front Center
Center Left
Rear Left
Center Right
Rear Right
+
This data is based off of a 2020 Wards Intelligence survey sponsored by Dell Technologies of 300 participants in
the automotive industry, give stats on who we surveyed, etc make it look like it can be used as a source.
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