Road Load Data Acquisition (RLDA)

A Crucial Process in Automotive Development

Road Load Data Acquisition (RLDA) collects and analyzes data, reflecting the behavior of vehicles under real-life conditions. This is particularly important to ensure durability for newly-developed vehicles. The collected data is used to simulate the vehicle during the development process. Besides the overall vehicle durability testing, this data also forms the basis for component tests. One example of this is the fatigue strength validation of wheels. Wheel Force Transducers (WFT) measure the forces and torques on wheels on a variety of road types. This data is then used to develop a test program for the component test on the test bench. The vehicle data logger is the primary tool used to acquire and store values.

Vehicle Data Logger

The loggers are Data Acquisition Systems (DAQs) responsible for the continuous recording of a wide range of vehicle data such as speed, acceleration, forces, torques and pressure. DAQs enable the data to be triggered and recorded to then make calculations or data reduction to be carried out directly on the DAQ. One often underestimated aspect is the time synchronization of the various data sources. Measurement data can only be compared with each other if they are based on the same time base. This requires a data acquisition system that offers this possibility. To make the data available to the engineers as quickly as possible, the recorded data can often be uploaded directly to the cloud in encrypted form. Then multiple departments can have access to this data. With the help of the measurement data, engineers can obtain a detailed picture of the actual loads and conditions under which a vehicle is operated. The data provides valuable insights that help to optimize vehicle designs and to improve performance and safety.

RLDA Includes the Following Aspects:

Real-World Simulation:

Simulating real-world driving conditions is a crucial task in RLDA. This involves replicating various road surfaces, weather conditions, and driving behaviors to understand how they impact the vehicle's performance and durability.

Component Stress Analysis:

Analyzing the stresses and strains on various vehicle components under different conditions is a key task. This helps in identifying potential areas of wear and tear, leading to improvements in vehicle design and materials.

Performance Evaluation:

RLDA is used to evaluate the vehicle's performance. This includes assessing aspects like handling, acceleration, braking, and fuel efficiency, ensuring the vehicle meets the desired performance standards.

Vehicle Durability Testing:

One of the primary tasks is to assess the durability of the vehicle. This includes predicting how long the vehicle and its components will last under normal operating conditions and identifying areas that may require reinforcement or design changes.

Safety Verification:

Safety is a paramount concern in vehicle design. RLDA data is used to verify the effectiveness of safety systems and ensure the vehicle adheres to safety regulations. This includes testing the response of the vehicle and its safety features under potential crash scenarios.

Regulatory Compliance:

Ensuring that the vehicle meets various industry standards and regulatory requirements is an important task. RLDA data is critical for demonstrating compliance with safety, environmental, and performance regulations.

Feedback for Design Improvement:

The data and insights gained from RLDA are used to inform and guide improvements in vehicle design, from the initial concept stage through to production.

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