MAB in engineering: A Hyundai Motor Company case study

By Christina Kothlow

Balance is everything

In the engineering world, performance targets are often in conflict. For example, a lightweight design might offer the best results for fuel efficiency. However, it could negatively impact other performance issues such as noise, vibration and harshness (NVH), handling and ride comfort. Multi-attribute balancing (MAB) is key to addressing complex engineering challenges and safeguarding the balance between design options and functional performance. Thanks to the continuous development of computer-aided engineering (CAE) and system simulation, manufacturers can predict the relative losses across a range of attributes such as NVH, fuel efficiency and drivability. Balance is everything and MAB has changed the game.

The act of MAB enables the user to detect design or construction flaws early on, or even avoid them altogether. The time and cost savings during the development and manufacturing process are far-reaching. Yet, only a minority of original equipment manufacturers (OEMs) use MAB to its full potential.

Taehoon Lee, senior research engineer at Hyundai Motor Corporation, states, “Hyundai Motor Corporation has set a firm goal to create a culture of constantly evolving innovation. Our motto is, ‘New thinking in automobiles.’ Being true to this vision simply requires vigorous and continuous pursuit of the latest engineering technologies.”

Hyundai Motor Company has found a trusted partner in Simcenter Engineering.

Image of ride shake
Ride shake
Image of 2nd order booming
2nd order booming
Image of impact

Handling, NVH and ride comfort

In collaboration with Simcenter, the Hyundai Motor Company team used a methodology that goes beyond troubleshooting an NVH issue. It applied an integrated, comprehensive approach that included competition benchmarking, target setting, design and validation in order to balance handling and NVH along with ride comfort.

Although the project highlights NVH performance, it goes well beyond that scope. Initially, in an unreleased vehicle, Hyundai identified a constant vibration on the rear seats and at the driver’s foot location. From the outset, Hyundai Motor Company made it clear that resolving troubleshooting activity was to be part of a unified approach to develop a more harmonized refinement process to balance attributes like handling and NVH along with ride comfort.

In order to do a proper balancing act, Hyundai simultaneously applied test and simulation to identify the current design issues. Next, the team validated the result against the best-in-class competition.

Convinced of this combined test and simulation approach, Lee and his team decided to step outside of their comfort zone. “We were mainly working with Simcenter Testlab, but more recently we are enriching our NVH business by combining test with Simcenter 3D and Simcenter Amesim software tools. This helps us to meet our engineering challenges by harmonizing full-vehicle level performance” says Lee.

Target setting

Rigorous testing usually defines the beginning of a new test campaign, when benchmarking and target setting takes place. This was done by setting a Hyundai Motor Company prototype van nose-to-nose with competitor vehicles. Next, Simcenter Engineering experts identified the locations that generated the booming noise using the transfer path analysis (TPA) method. This data enabled the engineers to define preliminary countermeasures. During the entire testing campaign, the team acquired data for populating the future CAE vehicle model with dedicated Simcenter SCADAS™ hardware. “I have been using Simcenter software and testing equipment for about 20 years. Simcenter Testlab is reliable and robust and much easier to use than our previous solution,” says Lee.

Image of target settings
Target settings (red: HMC van, blue: competitor 1, green: competitor 2)

Simulation phase

When using CAE, it is essential the vehicle model properly represents not only the dynamic properties of the various subsystems (for example, tires, suspensions, powertrain, etc.), but also the excitation inputs, such as road profile and engine internal loads. These critical data points are often unavailable as input data or take a great deal of effort to be measured.

In this project, the Simcenter Engineering team used dedicated and advanced reverse engineering CAE procedures to identify road profiles and engine internal loads to properly populate and excite the 3D vehicle model. In this way, the team could reach better prediction levels by using data measured during the test campaign.

The main goals of the CAE phase were to:

  • Build a validated multi-body model of an HMC van
  • Replicate tested maneuvers and predict targets, such as acceleration
  • Study countermeasures to improve wide open throttle and ride shake without affecting harshness

A preliminary and extensive design-of-experiment (DOE) study was performed to understand which design parameters were the most influential. After this, an optimization process was run based on the response surface model to identify the best compromise for parameters configuration. Using the final optimal sets gained from these processes, the MAB process was performed and validated using 3D models.

Image of DOE and optimization process
DOE and optimization process


In the final stage of the project, the identified countermeasures at the suspension level were manufactured and tested by replacing the baseline measures. The team set three vehicle variants and compared their target acceleration. The team realized a final relevant improvement of up to -5 decibels (dB) for the most critical points.

This project proved that by leveraging the synergy of combining test and CAE, it is possible to more quickly and efficiently find successful countermeasures to the issues at hand.

Rather than acting at the troubleshooting level, which is often too close to time-to-market, it is more efficient and convenient to front-load issues and improve the design of the chassis and body at an earlier stage in the vehicle development process. If structured chassis and body development involves CAE and test and is defined at an early stage, Hyundai Motor Company can optimize more kinds of performance, even those that may conflict.

Image of chassis and powertrain spare parts variants
Example of chassis and powertrain spare parts variants

Top of the V-cycle

Every OEM wants to avoid troubleshooting issues at the end the development process. That is why MAB needs to be considered at the top of the vehicle design cycle or the so-called V-cycle. System simulation allows Hyundai Motor Company to evaluate attributes such as NVH, ride comfort, fuel efficiency, thermal management and the impact of driveline controls side-by-side at the very first stages of development. Moreover, at every step of the decision-making process, attributes can be weighed against each other. As a result, manufacturers can minimize troubleshooting by constantly gauging and confirming the optimal set of parameters.

Image of performance improvement confirmation test results
Performance improvement confirmation test results

Taking the leap

Choosing to abandon a purely test-focused approach and combine it with CAE and systems simulation requires trust. Hyundai Motor Company is currently looking into system simulation, particularly Simcenter Amesim™ software, to keep better control of the time-to-market and reduce development cost.

Hyundai Motor Company never doubted the credentials of their partnership. “Siemens’ Simcenter solutions are considered the most reliable option on a global basis. Our commercial vehicle engineers are proud to use them,” says Lee. “The experienced Simcenter engineers have always given us technical confidence and a fitting balance between detail and accuracy. In the past, we have solved many of our problems with their help. We have established a mutual trust and global partnership in which we highly value the Siemens NVH technology, and in particular the Simcenter portfolio. Hyundai Motor Company and Siemens will remain important partners for optimizing NVH in the future.”

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This article first appeared on the Siemens Digital Industries Software blog at