{"id":9571,"date":"2020-01-16T10:27:35","date_gmt":"2020-01-16T15:27:35","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=9571"},"modified":"2026-03-26T06:20:25","modified_gmt":"2026-03-26T10:20:25","slug":"keeping-vehicle-adas-clean-in-harsh-operating-conditions","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/keeping-vehicle-adas-clean-in-harsh-operating-conditions\/","title":{"rendered":"Keeping vehicle ADAS clean in harsh operating conditions"},"content":{"rendered":"\n<p>A year and a half ago, I wrote about <a href=\"https:\/\/community.plm.automation.siemens.com\/t5\/Simcenter-Blog\/Sensor-malfunction-ACTIVE-SAFETY-FUNCTIONS-DISABLED\/ba-p\/517607\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">my new car with some slightly disappointing driver safety technology<\/a> that worked well in the summer, but less well when I needed it most: in the perpetual rain and snow of a New York winter. <\/p>\n\n\n\n<p>In this post, I\nmentioned then that both the European Union and the United States were\nmandating that all vehicles be equipped with autonomous emergency brake and forward-collision\nwarning systems by 2020.<\/p>\n\n\n\n<p>Well, we are at the dawn of 2020. So, it\u2019s time to go deeper and tell you more about the state-of-the-art simulation technology which supports engineers with improving advanced driver-assistance systems (ADAS) performance under harsh environmental conditions. And not only <a href=\"https:\/\/www.plm.automation.siemens.com\/global\/en\/webinar\/energy-water-management\/34690\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">at Daimler<\/a> thought. &nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"185\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-1-1024x185.png\" alt=\"\" class=\"wp-image-9574\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-1-1024x185.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-1-600x109.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-1-768x139.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-1.png 1049w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Figure 1: Aerodynamic pressure force driving water on side window &#8211; Daimler presentation<\/figcaption><\/figure>\n\n\n\n<p>The use of sensors in ADAS and autonomous vehicles has been accelerating over the past few years largely driven by regulatory and consumer interest in safety applications. These sensors help with monitoring, warning, braking, and steering tasks to prevent accidents and protect drivers. But that is pretty useless if the sensors can\u2019t handle all the harsh environments that a driver routinely encounter.<\/p>\n\n\n\n<p>Vehicle\ndesigners and suppliers are working to address these needs. One method would be\nto add a liquid cleaning system, like the ones used by vehicle wipers. This\nwould add additional wiper fluid, which adds weight, mechanical complexity and additional\nmaintenance to the system. Another critical step OEMs are investigating is\nusing the vehicle aerodynamic design to help locate sensors, and keep sensors\nclean, to minimize the maintenance of the sensors. And more important than\nthat, help me to avoid bending the fender of my next new car. <\/p>\n\n\n\n<p>Today, it is common to use simulation to investigate the aerodynamic contribution of a vehicle to its fuel consumption and acoustic signature. Including dirt\/water management as part of the aerodynamic design cycle represents a relatively new challenge. Simulation allows engineers to solve problems before the first prototype is built, reducing the high costs of making changes late in the design cycle. This allows engineers to look at the trade-off between styling, aerodynamic drag losses, acoustic noises, and rain\/dirt management. To learn more, feel free to join our <a href=\"https:\/\/www.plm.automation.siemens.com\/global\/en\/webinar\/adas-sensors-reliability-management\/67916\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Live Webinar event on January 22<sup>nd<\/sup><\/a>. &nbsp;<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"494\" height=\"359\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-2.png\" alt=\"\" class=\"wp-image-9576\" \/><figcaption>Figure 2: Influence of water film on the bumper<\/figcaption><\/figure><\/div>\n\n\n\n<p>Simulating vehicle soiling can be quite challenging, modeling the physics needed to capture a realistic solution in a time frame in which engineers can impact design. There are many different techniques today balancing the trade-off between physics for realist solutions with computational resources. For speed, physics models of particles and fluid flow generally are separated to enhance performance. Examples are particle-based methods that focus on particles traveling free from the airflow. There are wall film models that help computationally reduce 3D modeling for thin films. More expensive models include the volume of fluid and resolve multi-phase between the water and air which are referred typically as <a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/en.wikipedia.org\/wiki\/Volume_of_fluid_method\" target=\"_blank\">Volume of Fluid<\/a> (VOF) in a cell. The VOF modeling allows the user to track the motion of free surfaces.<\/p>\n\n\n\n<figure class=\"wp-block-gallery aligncenter columns-2 is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\"><ul class=\"blocks-gallery-grid\"><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"524\" height=\"376\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-3-2.png\" alt=\"\" data-id=\"9588\" data-full-url=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-3-2.png\" data-link=\"https:\/\/blogs.sw.siemens.com\/simcenter\/?attachment_id=9588\" class=\"wp-image-9588\" \/><\/figure><\/li><li class=\"blocks-gallery-item\"><figure><img loading=\"lazy\" decoding=\"async\" width=\"356\" height=\"260\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-4-2.png\" alt=\"\" data-id=\"9589\" data-full-url=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-4-2.png\" data-link=\"https:\/\/blogs.sw.siemens.com\/simcenter\/?attachment_id=9589\" class=\"wp-image-9589\" \/><\/figure><\/li><\/ul><figcaption class=\"blocks-gallery-caption\"> Figure 3: Wall film used to capture rivulets and surface tension; Figure 4: Numerical study of VOF capturing dynamic contact angle <\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<p>In <a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/www.plm.automation.siemens.com\/global\/en\/products\/simulation-test\/fluid-dynamics-simulation.html\" target=\"_blank\">Simcenter STAR-CCM+<\/a>, the developers worked with a focus on the interaction of these complex models to enable high fidelity water management solutions. Particles are modeled with either Lagrangian or Dispersed Multiphase (DMP). The DMP is a lightweight Eulerian model with large&nbsp;particle groups, while Lagrangian allows greater interaction between the air and particles but has increased computational cost. As the particle hits a surface, the fluid film model helps to capture thin films of water along the vehicle. As water collects, or pool, thin-film assumptions are no longer correct, and the water needs to transition into the VOF model.<\/p>\n\n\n\n<p>Adding features\nof droplets in the air, to wall film, and VOF enable Simcenter STAR-CCM+ to\ncapture realistic physics for vehicle water management. The rain is simulated\nusing Lagrangian particles. These collect on the windshield using the wall film\nmodel. The motion of wiper blades is captured using overset grids. While blades\nare moving, water may pool up on the blade, rain gutter, and\/or cowl. Both the\nVOF model and wall film model capture surface tension of the air flowing over\nthe windshield.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"956\" height=\"494\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-5.png\" alt=\"\" class=\"wp-image-9582\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-5.png 956w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-5-600x310.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-5-768x397.png 768w\" sizes=\"auto, (max-width: 956px) 100vw, 956px\" \/><figcaption>Figure 5: Example of wiper simulation during a rainstorm<\/figcaption><\/figure><\/div>\n\n\n\n<p>These capabilities allow water management to be done earlier in the design phase and improve performance for ADAS, cameras and windshield visibility. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Water management performed earlier in the design phase to improve ADAS <\/p>\n","protected":false},"author":62252,"featured_media":9585,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[184],"tags":[242],"industry":[89,132,133,135,134],"product":[513],"coauthors":[18250],"class_list":["post-9571","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-webinar","tag-computational-fluid-dynamics-cfd","industry-automotive-transportation","industry-automotive-oems","industry-automotive-suppliers","industry-motorcycles-bicycles-parts","industry-trucks-buses-specialty-vehicles","product-simcenter-star-ccm"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2020\/01\/Blog-visual-0.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/9571","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/users\/62252"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=9571"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/9571\/revisions"}],"predecessor-version":[{"id":9595,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/9571\/revisions\/9595"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/9585"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=9571"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=9571"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=9571"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=9571"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=9571"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=9571"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}