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AI-Powered Vehicle Concept Development

Revolutionize vehicle development with AI-driven precision.

Our artificial intelligence (AI)-powered AVL Vehicle Composer™ redefines concept creation, optimizing technology selection, balancing attributes, and accelerating decision-making – reducing development time from weeks to hours.

AI-Powered Vehicle Concept Development

The increasing complexity of modern vehicle development, combined with the need to reduce time-to-market, calls for a new approach to early-phase concept definition. AVL Vehicle Composer leverages artificial intelligence to support OEMs and suppliers in making robust, data-based decisions in the earliest development stages.

The solution enables real-time evaluation of architecture variants and technology choices across all major vehicle systems. Based on validated, physics-informed AI models, AVL Vehicle Composer delivers accurate predictions for key attributes such as energy efficiency, crash performance, and cost – significantly reducing development effort and time.

By automating concept definition and attribute balancing, the tool helps ensure alignment with overall vehicle targets while maintaining design flexibility. This allows engineering teams to identify optimal configurations early, reduce reliance on physical prototypes, and accelerate the overall development process.

The automotive industry is undergoing a rapid transformation – driven by emerging technologies, changing regulations, and growing pressure from new market entrants, especially in China. Traditional concept development methods based on manual iterations and late-stage simulations are too slow, too siloed, and too expensive to remain competitive. Manufacturers urgently need a disruptive approach to master complexity and accelerate decision-making in the concept phase.

Vehicle Composer

Shortened Development Timelines

Market pressure requires manufacturers to validate and freeze vehicle concepts in weeks or months, not years. Traditional workflows based on prototypes and sequential simulation can no longer keep up with the speed of innovation.

Fragmented System Optimization

Siloed engineering teams often make localized decisions that lack a global, vehicle-level perspective. This results in inefficiencies and missed opportunities to achieve true system integration across domains.

Data Scarcity in Early Phases

In the earliest development stages, detailed physical models and measurement data are often unavailable. As a result, conventional CAE tools fall short, and critical trade-offs remain unresolved for too long.

Costly Physical Prototypes

Building and testing prototypes is time-consuming and expensive. Reducing reliance on physical assets is essential to improve efficiency, especially when exploring multiple architecture variants.

Balancing Innovation with Brand DNA

Meeting vehicle targets for performance, safety, and efficiency while staying true to brand identity is increasingly difficult. Early decisions must reconcile a growing number of conflicting design requirements.

AI That Understands Vehicles

AVL Vehicle Composer reimagines concept development through AI-powered intelligence. By using validated, physics-informed neural networks trained on millions of data points, we enable instant evaluation of vehicle architecture and performance trade-offs. This shifts the paradigm from manual exploration to automated, system-level optimization – empowering engineering teams to develop smarter, faster, and with greater confidence.


AI-Powered Decision-Making
The solution allows for the simultaneous evaluation of 10+ vehicle-level attributes, including energy management, driving dynamics, crash performance, and cost. By providing a transparent overview of attribute interdependencies, AVL Vehicle Composer supports robust decision-making and ensures traceability of concept choices.


Real-Time Architecture Optimization
The integrated AI models enable instant assessment of vehicle layout and structural configuration. This allows engineers to explore and refine packaging solutions, crash zones, and geometry variants within minutes, improving design efficiency in early development stages.


Seamless Target Cascading
Vehicle-level performance targets are automatically translated into subsystem-level requirements through AI-driven cascading logic. This ensures early alignment of design objectives across all domains and supports structured coordination between system and component development.


Comprehensive System Coverage
AVL Vehicle Composer considers all major vehicle systems – including powertrain, chassis, body, HVAC, and E/E – in the concept evaluation process. This holistic approach supports consistent performance balancing and facilitates seamless system integration across the entire vehicle.


Validated Predictive AI Models
All AI predictions are based on models trained using extensive physics-based simulation data and validated against AVL’s benchmarking library of real-world vehicle configurations. This ensures high prediction accuracy, especially for critical performance aspects such as crash behavior, range, and efficiency, even at early development stages.

Accelerated, Reliable, and Holistic Concept Development

AVL Vehicle Composer enables a new level of speed, precision, and system understanding in early-stage vehicle development. By leveraging AI-based prediction models, manufacturers gain fast and reliable insights into the complex interdependencies of vehicle attributes – reducing development time and supporting data-driven concept decisions from day one.

Faster Concept Definition

The tool reduces the time required for vehicle concept development from several weeks to just a few hours. This enables early-stage design iterations to be completed in significantly shorter timeframes, accelerating the overall development process.

 

AI-Driven Technology Evaluation

AI-based predictions allow real-time evaluation of technology choices across all vehicle systems. This supports informed decision-making during architecture definition and ensures that selected technologies meet the defined performance criteria.

 

Holistic Attribute Balancing

AVL Vehicle Composer simultaneously considers and balances more than ten key vehicle attributes – including efficiency, dynamics, cost, and safety. Cross-domain influences are resolved automatically, ensuring that trade-offs are transparent and that targets are met on a system level.
 

Comprehensive System Coverage

The solution covers all major vehicle domains, from powertrain and chassis to HVAC and E/E systems. This allows for early-stage, system-level optimization and ensures consistent performance across the entire vehicle architecture.

 

Validated, Physics-Based AI Models

All predictions are based on AI models trained with validated data from AVL’s digital twin methodologies and verified against physical benchmarking vehicles. This ensures high model accuracy and builds trust in the results, even in early concept phases.
 

Vehicle Segment Flexibility

AVL Vehicle Composer is applicable across a wide range of vehicle segments – from A-segment to E-segment. This flexibility enables consistent concept development processes, regardless of vehicle class or application.

 

Integrated Competitive Benchmarking

The solution includes access to AVL’s benchmarking data, allowing concept decisions to be made with reference to market-relevant competitors. This supports strategic positioning and ensures alignment with current industry trends.

Technology and Expertise for the Concept Phase

Developing the right vehicle concept requires a combination of data-driven insights, advanced AI technology, and expert engineering support. Our deliverables provide a comprehensive approach to vehicle development, ensuring efficiency, accuracy, and innovation. From AI-powered concept evaluation to benchmarking and hands-on proof-of-concept validation, we equip manufacturers with the tools and expertise needed to accelerate decision-making and optimize vehicle performance.

AVL Vehicle Composer™ Software Solution

Our AI-powered software enables real-time, interactive concept assessment without relying on traditional simulation models. By integrating neural networks for multiple attributes (e.g. energy management, performance, vehicle dynamics, vehicle layout or crash), it evaluates 10+ vehicle attributes across all key systems, ensuring optimal performance and balancing cross-influences. The system also features target cascading, aligning vehicle-level goals with detailed KPIs. This streamlined, data-driven approach enhances efficiency, reduces costs, and accelerates concept validation.
 

Vehicle Concept Development Support

Our expertise ensures a structured and efficient vehicle development process. We offer benchmarking, market profiling, feature definition, architecture engineering, and virtual concept development, helping manufacturers make data-driven design choices early on. With our support, teams can streamline workflows, optimize vehicle architectures, and accelerate decision-making to align with industry demands.

Mario Oswald

Traditional simulation methods enable balanced decisions only under specific conditions and often too late in the process. AI allows us to instantly see how a design choice, like the battery, affects key attributes such as range and safety.

– Mario Oswald, Skill Team Leader Virtual Vehicle and Energy Management of AVL List

Solution Sheet: AVL Vehicle Composer™
 
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