Handbrake benchmark cpu: CPU Benchmarks — Compare Products on AnandTech

Best CPU for Rendering & Video Encoding: Spring 2021 – Techgage

On this page, we’re going to be tackling a few additional encoding-type projects. Since the beginning of its life, we’ve benchmarked with Adobe’s Lightroom, but dropped it for about a year or two a few years back because it wouldn’t reliably scale. Over time, things changed, and now the application seems pretty efficient on multi-core CPUs.

In addition to Lightroom, we’ve also tested Blackmagic RAW Speed Test, which acts as a simple way to see how a CPU can handle playback of BRAW footage at different compression levels. Finally, we’re also testing with LameXP, an open-source music encoder that can take advantage of many-core CPUs, as well as the super-popular HandBrake transcoder.

Adobe Lightroom Classic

As hard as it is to believe sometimes, we’ve been benchmarking Adobe’s Lightroom for nearly 14 years. For most of that time, we used the same photo set that came out of our Nikon D80. Recognizing the aging set, a friend of the website provided us with a new set of higher-resolution RAW files from a Canon DSLR. To our surprise, scaling hasn’t changed much, but the bigger files make for a more strenuous test.

To date, we’ve only tested Lightroom’s JPG export, which involves a resize and also an application of a matte finish. This time around, we added DNG export, and are glad we did, because as you can see from the results above, the scaling changes up quite a bit.

With the JPG export, the Threadripper chips take the top spots, but fail to do the same with the DNG export. With DNG, it seems as though there is such thing as a perfect blend of cores and clocks, something that helps propel the 16-core 5950X to the top spot. Amusingly, the Threadrippers that dominated the JPG export fall to the absolute bottom in the DNG export. If you need a many-core chip that performs great in Lightroom, you either want the Ryzen 9 5950X or Core i9-10980XE.

Blackmagic RAW Speed Test

BRAW is a format that can take great advantage of CPUs and GPUs alike, something proven in the results here. Once again, the 64-core 3990X doesn’t dominate as much as it should, with the 32-core 3970X placing in front of it. Aside from those top results, the rest scales pretty much as expected all the way down. On a budget, a CPU like the 8-core 5800X or 10-core 10900K looks to offer a decent value overall, but you will definitely see improvements if you opt for a bigger model.

HandBrake

With our HandBrake transcode tests, the 32-core 3970X yet again hits the top spot. It should be clear by now that while the 64-core 3990X is all sorts of impressive in its own way, most encoding software will scale better on the smaller models. We’re really eager to see how the next-gen Threadripper, based around the Zen 3 architecture, changes things up.

In this lineup, the 12-core Ryzen 9 5900X stands out as a good value for the money. It effectively goes toe-to-toe with Intel’s much bigger 18-core i9-10980XE.

LameXP

As someone who’s encoded tens of thousands of music tracks over the years, a test like this LameXP one hits close to home (even if I don’t encode too much anymore thanks to streaming services). LameXP won’t use every single thread the top-end Threadrippers give it, but they still manage to scale better than the mainstream counterparts.

The 5950X continues to look strong here, but everything aside from Threadripper essentially scales as we’d expect. In time, it’d be great to see how this test would scale if all cores/threads were utilized. With enough threads, a test like this could make for a good storage test, as well.

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Best CPU for Video Encoding

TABLE OF CONTENTS

1

What makes the best CPU for video encoding?

In this article, I’m going to walk you through everything you need to know about CPU video encoding, including what to look for in a video encoding CPU and how other components may impact your encoding experience.

Let’s dive into it!

The Basics of CPU Video Encoding

What Makes Encoding Different From Rendering and Exporting

First, let’s take a moment to talk about what video encoding actually is since there’s a lot of confusion around the topic.

It doesn’t help that certain rendering and exporting processes actually do involve encoding in and of themselves, either, but for the moment I’m going to focus on encoding by itself.

Basically, video encoding is the process of taking a (sometimes raw, uncompressed) video file and converting it into another, more usable file format for your specific needs.

If the file in question is already encoded in another format, this process is called transcoding, but the essence remains the same.

For example, you may want to transcode an MKV file to an MP4 container file with an H.264 Codec or AVI container file with a WMV9 Codec that’s readily compatible with more devices.

Or, say you have raw footage that you want to use in a video project, but it isn’t compatible with your editing software.

Encoding that raw footage into a usable, compressed format is another common use of video encoding software.

Additionally, whenever you’re using video editing software, there’s a high chance that your final rendering and exporting process will itself involve some form of encoding or transcoding.

For instance, if you’re preparing a video for YouTube, you’ll most likely want to encode it in one of YouTube’s supported file formats.

Video Rendering vs. Exporting vs. Encoding vs. Saving – An overview

All of these mean very similar things, but there are some key differences that we should talk about.

Let’s start with the simplest one:

Saving

You can save a project file. This can be a Photoshop File, a Premiere Pro Project File, an After Effects File etc. The common denominator is that you are saving Application-specific settings in this file that usually can’t be opened with other software. Saving is generally a quick process that doesn’t need more than a few seconds.

When you save a Project, you package Application-specific settings into a file and save it onto your Storage. This does not normally involve any form of converting between formats. It can include packaging source material (such as footage in its original form) into that application-specific file, though.

Exporting

When you export a Project, this typically designates a conversion into a non-(Project-)Application-native format takes place. This is to either make the resulting file compatible with other applications or to flatten and get rid of some of the information that isn’t needed for the file’s intended purpose (e.g. playback, viewing, streaming).

When you export a Project you flatten & strip it of Application-specific information (e.g. layers, effects settings) and/or add compatibility for viewing in other applications, players, image viewers etc.

Exporting a Video Editing Project includes the following two tasks, too: Rendering and Encoding.

Rendering

Rendering is part of the export process in visually demanding applications and workloads. The act of rendering includes calculating a final image for each video frame by applying effects, transformations, color grading,  stabilization etc. to your footage, layering the footage, adding graphics and text, or in more complex cases, ray-tracing physical light bounces to calculate 3D Objects and Environments.

These tasks are very demanding on your hardware and can take a long time to complete. The goal is to calculate any of the footage alterations you have set up in your project and create a final uncompressed image for each frame.

These final frames can then go on to the next step:

Encoding / Transcoding

Encoding is the act of taking the final uncompressed frames (after they’ve been rendered), encoding them, and packaging them into a container file format (such as MP4, MOV, AVI) that then consists of an encoded (H.264, AAC, etc.) video and audio stream.

So, what we’re talking about in this article, is which CPUs are great at encoding, not necessarily at rendering. Thankfully, though, these often go hand in hand:

Why Great Video Editing CPUs are also Great Video Encoding CPUs

As you may be able to surmise, video encoding and transcoding are pretty closely-tied to other video editing tasks.

You’ll often be doing a bit of all of them, especially if you’re working with uncompressed video footage on a regular basis.

Fortunately, all of these tasks share a key trait: they’re fairly CPU-bound, and scale fairly well to multiple CPU cores and threads.

This means that if a CPU is good for video editing, it’ll most likely be pretty good at video encoding and transcoding, too.

Even if you have a great graphics card to help accelerate these workloads, a strong CPU goes a long way in reducing total render times while keeping the final project looking high quality.

So, let’s talk about what makes a CPU appealing for video encoding and similarly CPU-intensive workloads.

What To Look For In a Video Encoding CPU

High Core Counts with a Modern CPU Architecture

A major boon in favor of video editing and other professional rendering software in comparison to something like a video game is that these applications are extremely scalable. In this context, scalable refers to the ability of an application to utilize more than one processing core.

Just a decade ago, CPUs with core counts of 4 or higher were considered a luxury in the consumer space, and for good reason.

A bit over a decade before then and a CPU didn’t even have “cores” to speak of, since a single processing core used to be the whole CPU.

We’ve come a long way since then, but you would be surprised at how many applications (especially games)…haven’t.

As it turns out, programming an application to utilize more than one CPU core can be pretty difficult, and over in that gaming space, effectively using more than 4 cores at a time is still a tough ask for many game engines.

Here in the video encoding, video editing, and productivity space, though, things are a lot better.

Since these workloads aren’t necessarily real-time in the same way that a game is, it’s easier for tasks to be broken down and divided across pretty much however many CPU cores and threads are available.

When you can put your whole system to work like that, you have a lot more incentive to invest in cutting-edge CPUs with high cores and thread counts, because double the cores can sometimes very well mean double the performance.

Simultaneous Multithreading (SMT) or Hyperthreading (HT)

On the note of cores, it’s also important to talk about SMT or Simultaneous Multithreading. Intel processors call this Hyperthreading in their marketing, but SMT is the proper name of the technology.

So, what is SMT?

Earlier, I mentioned that CPUs used to not have “cores” because a single core was considered a CPU in and of itself.

In the early days of multicore CPUs, multi-core CPUs were essentially considered to be two or more CPUs in one and basically were, since very few applications were made to utilize more than one core.

In this time, a “thread” also corresponded directly to your core count: think of a “thread” as a virtual representation of a core to your operating system.

But with Simultaneous Multithreading, the rule of 1 Core = 1 Thread can be broken.

In fact, with SMT enabled, the rule instead becomes 1 Core = 2 Threads. (Unless you’re a 12th Gen Intel CPU and you have both P-Cores and E-Cores, in which case only the P-Cores have 2 Threads per Core. More on that funny business in its section below.)

Now, SMT doesn’t suddenly multiply a CPU’s processing power by 2, as cool as that would be.

What it does do is enable it to multitask and manage scalable workloads really, really well. So if you’re looking to maximize the encoding or rendering power of a given CPU, getting an SMT-enabled CPU is a really good way of doing that.

High Clock Speeds with a Modern CPU Architecture

Clock speeds are a little more complicated because they’re fairly often misunderstood.

If you aren’t familiar with CPU technology, you might assume that something like 3 GHz is a straight-up measure of speed and that any given 4-core 3 GHz processor is going to perform about the same as another.

Due to the constantly changing nature of CPU architectures, especially across different generations or different brands, this is basically never the case.

High clock speeds are great, don’t get me wrong: but making sure those high clock speeds are being achieved on a modern CPU architecture is just as important.

Current-gen 3 GHz is a much different story from last-gen 3 GHz, not to mention three-gens-ago 3 GHz.

But generally speaking, 3 GHz and higher is good for a CPU, and many high-end CPUs being released today can boost up to 5 GHz without even needing to be overclocked. (If your Motherboard, PSU, and Cooling are adequate)

A Note on P-Cores and E-Cores

If you’re shopping for a modern Intel processor (and who knows, maybe AMD will start doing it, too), you may start seeing mentions of P-Cores and E-Cores.

Basically, these correspond to Performance Cores and Efficiency Cores.

Performance Cores are pretty much the same as CPU cores have been for generations now.

High-performance cores that can double up on their thread count with SMT enabled.

Efficiency Cores are a little bit different. They’re still powerful in their own right, but they’re tailored for lowering power consumption and heat rather than pushing the best raw power possible.

As a result, even with SMT enabled, these Efficiency Cores remain at 1 Core = 1 Thread.

If you’re interested in learning more detailed information about P-Cores, E-Cores, and how they perform, Jerry wrote an excellent guide on the topic.

Video Encoding Benchmarks

Before we dive into our CPU picks, let’s take a look at some Benchmark numbers that we’ll base our CPU recommendations on:

Techgage ran some Handbrake Video Encoding Benchmarks on both Threadripper and AMD Ryzen CPUs and we can already tell that there seems to be a sweet spot in terms of performance per dollar. The Threadripper 3960X, 3970X, and 3990X CPUs show heavily diminishing returns on adding more cores on the high-end, whereas the 16-Core 5950X seems to scale well thanks to its higher clock speeds.

CPU Encoding Performance Handbrake Threadripper Ryzen Comparison

Pugetbench compares the more recent 12th-gen Intel Alder Lake CPUs to AMDs 5xxx Series CPUs in this PugetBench Benchmark that runs inside Premiere Pro.

We see Intel’s high-clocking CPUs pull ahead considerably. A 10-core 12600k even outperforms the 12-Core 5900X. Do note that these scores involve not just encoding, but also exporting / processing any layers and edits within the project File – so we’ll take these results with a grain of salt.

Intel’s CPUs also like to draw a lot more power than their competitor’s CPUs, so this does not necessarily mean their technology is on par watt for watt.

Pugetbench Premiere Pro Video CPU Encoding and Exporting Benchmark

Tom’s Hardware, too, tested 12th gen Alder Lake and AMD Ryzen 5xxx Series CPUs in Handbrake and LAME, which are pure Audio and Video Encoders.

LAME favors Intel’s CPUs, while Handbrake seems to perform better on AMD’s offerings. The overall scaling is what we would expect, though.

CPU Audio encoding Benchmark LAME Encoding WAV to MP3

 

CPU Video Encoding Benchmark Handbrake MKV to MP4 x265

For now, though, let’s get to what you came for: what are the best video encoding CPUs you can get right now?

What Are The Best Video Encoding CPUs Today?

Note: When comparing pricing between Intel and AMD processors, be sure to also consider how much you’ll be spending on a compatible motherboard and RAM.

Best High-End: Intel Core i5-12600K

Intel Core i5-12600K

  • Cores: 10 (6 Performance, 4 Efficiency)
  • Threads: 16 (12 Performance, 4 Efficiency)
  • Clock Speed: Up to 4.9 GHz Turbo

The best pick for the most people will be the recently-released Intel Core i5-12600K.

Boasting 6 SMT-backed Performance Cores and 4 Efficiency Cores capable of running at up to 4.9 GHz without an overclock, the Intel Core i5-12600K is no slouch in the performance department.

In CPUAgent’s Handbrake 1080p60 HEVC benchmark, the 12600K manages one of the highest scores, at a clean 263.

At the time of writing, it’s only beaten in that benchmark by a Ryzen 9 processor and the Intel Core i9-12900K. The 12900K with the top score is only at 275, which isn’t much more than the i5’s at all.

This is a processor that is punching ridiculously far out of its weight class.

By comparison, the last-gen Intel Core i5-11600K only manages a meager 168 in the same benchmark.

Add on the fact that it’s cheaper than every other pick on this list despite performing within spitting distance of all of them, and the Core i5-12600K becomes a pretty much impossible-to-beat value in the current market conditions.

It laughs in the face of last-gen Core i7 and Ryzen 7 processors by outperforming them at a lower price.

If It’s Cheaper Than Best High-End: Ryzen 7 5800X

AMD Ryzen 7 5800X

  • Cores: 8 Performance
  • Threads: 16 Performance
  • Clock Speed: Up to 4.7 GHz Boost

Prior to the 12th Gen Intel CPUs storming the market in all of their great terror, the high-end Ryzen 5000 CPUs seemed pretty much unbeatable.

And truthfully, their performance is still fairly high up there in workloads related to video encoding and transcoding.

A glance at Anandtech’s benchmarks shows a total bloodbath in favor of these processors when pit against Intel’s 10th Gen, and Intel’s 11th Gen performed pretty much the same, if not worse in a few cases.

I would still recommend the Core i5-12600K first, because the processor is actually that good, but if you can find the 5800X for cheaper then it’s definitely an alternative worth considering.

No Compromises: Intel Core i9-12900K

Intel Core i9-12900K

  • Cores: 16 (8 Performance, 8 Efficiency)
  • Threads: 24 (16 Performance, 8 Efficiency)
  • Clock Speed: Up to 5.2 GHz Turbo

If all of this talk of Intel’s 12th Generation superiority in video encoding sounds good to you, the Intel Core i9-12900K is that but more.

However, you’ll be spending a lot more money for the privilege, and you won’t always get an improvement that directly scales to all of the new cores that you got for the upgrade.

This is the No Compromises pick for a reason, though- if you want the fastest video encoding CPU currently on the market and don’t care how much you gotta spend on it, this is the pick for you.

If It’s Cheaper Than No Compromises: AMD Ryzen 9 5950X

AMD Ryzen 9 5950X

  • Cores: 16
  • Threads: 32
  • Clock Speed: Up to 4.9 GHz Boost

A Ryzen 9 5950X won’t necessarily boast the same raw encoding performance as a 12th Gen Intel processor, but it’ll come pretty freakin’ close.

And in other core-dependent high-end workloads, the 5950X remains one of the leading choices in the entire industry from a performance perspective.

Where current-gen AMD CPUs are suffering in comparison to their Intel rivals is in pricing, because a major bump in performance has happened on Intel without as major a bump in price.

It’s been a long time since the CPU market has been this competitive.

If you can find this CPU cheaper than the Intel Core i9-12900K, it’s definitely a worthwhile alternative to consider for your heavy-duty workloads.

What about Threadripper?

Because Encoding needs high clocking CPUs, ample amount of cores, and fast cache access, while Threadripper CPUs do come out on top in many benchmarks, they are considerably more expensive than mainstream CPU offerings that don’t perform that much worse.

If all you need is the highest performance for encoding videos, no matter the cost, and you’re also not planning to do any kind of Editing work or run related workloads, a Threadripper could be an interesting choice.

Because most professionals that do encoding, though, also want to be able to edit smoothly or work in the applications on that same workstation, choosing a mainstream CPU with higher single-core performance is the better choice, even if it has less cores.

FAQ

What else should I be mindful of for a Video Encoding PC Build?

If you’re going to be doing a lot of video encoding, editing, rendering, and the like, you need to make some concessions with your PC build besides just buying the strongest CPU and GPU within your budget.

Namely, your PC build is most likely going to be running at pretty high temperatures if you don’t invest in plenty of case fans and a good cooler to keep everything running optimally.

Applications like Handbrake and your usual video editing software can very quickly use up your entire CPU if you tell them to or don’t remember to tell them not to.

Running a CPU at full-throttle for a sustained workload is a surefire way to introduce yourself to some thermal throttling if you aren’t compensating with a properly-cooled and ventilated PC build.

Does RAM impact Video Encoding performance?

Like with most RAM-related things, if you’re running in Dual Channel with at least 2 RAM sticks you’re most likely doing fine.

Generally speaking, RAM capacity is going to have the biggest impact (compared to other RAM specs) on how well your workload runs.

Since the purpose of RAM is to hold whatever the CPU is actively working on, you should target having enough RAM to manage your project files without needing to offload them to the much slower paging file on your hard drive or SSD.

Past RAM capacity, increasing RAM speed, and lowering RAM latency are other good ways of improving RAM-related performance.

You generally shouldn’t need to worry too much about this, though, just remember to enable XMP.

Does the GPU impact Video Encoding performance?

Yes, as long as the video encoding or video editing application in question supports GPU acceleration.

The majority of them do, and I particularly recommend Handbrake for anyone looking for a GPU-accelerated video encoding application.

Handbrake does take a little know-how to use effectively, but once you figure it out, it’s free and provides superb encoding performance that makes the most of your hardware.

Over to You

We’ve reached the end of the article.

I hope you have a better understanding of CPU performance and how it relates to video encoding now.

Even if you don’t end up going with one of the recommendations listed above, it’s my sincere hope that this article armed you with the knowledge you need to make an informed buying decision whenever you may need to in the future.

Whenever that future comes, or until then, feel free to leave a comment below or on our forum with any CPU or video encoding-related questions you might have.

CGDirector is Reader-supported. When you buy through our links, we may earn an affiliate commission.

Electric parking brake | Article in the journal «Young scientist»

Author :

Misyurov Mikhail Nikolaevich

Category : Engineering sciences

Posted by
V

young scientist

#2 (136) January 2017

Publication date : 01/16/2017
2017-01-16

Article viewed:

294 times

Download electronic version

Download Part 2 (pdf)

References:


Misyurov, M. N. Electric parking brake / M. N. Misyurov. — Text: direct // Young scientist. — 2017. — No. 2 (136). — S. 171-174. — URL: https://moluch.ru/archive/136/38269/ (date of access: 06.02.2023).



In this paper, an electric parking brake is considered using the Volkswagen Passat as an example. The possibilities and principle of operation of the electric parking brake, as well as the advantages, are given.

Keywords: electric parking brake, control unit, sensors

To keep the car stationary when stopped or parked, the driver usually tightens the parking brake by applying considerable effort to its lever or auxiliary pedal. Now, all it takes is a short press of a switch on the instrument panel, which will signal the electromechanical parking brake, replacing the purely mechanical brake.

However, the electromechanical parking brake helps not only when parking the car. Due to its dosed action, in some cases it replaces the service brake system and effectively helps when starting the car uphill.

Take the Volkswagen Passat as an example (Fig. 1). The control unit for the electromechanical parking brake is located in the passenger compartment, near the center console. This block handles all tasks related to the control and diagnostics of the electromechanical parking brake. The parking brake control unit contains two processors. It is connected to the ABS control unit via a separate CAN bus.

Rice. 1. Location of the electric parking brake control unit

The location of the sensor is not accidental, since the parking brake control unit has a built-in sensor unit that responds to the transverse and longitudinal acceleration of the vehicle, as well as to the acceleration of its rotation around the vertical axis. The signals from these sensors are used both by the parking brake control unit itself and by the ESP stability control system. The longitudinal acceleration sensor signal is used to calculate the pitch angle of the body.

The electromechanical parking brake is capable of:

  1. keep the car parked
  2. contribute to the dynamic control of the starting process
  3. perform emergency braking
  4. implement the AUTO HOLD function.

Process flow (Fig. 2)

  1. The car is stationary. The electromechanical parking brake is applied. Wanting to start moving, the driver engages first gear and presses the accelerator pedal.
  2. The electromechanical parking brake control unit calculates the engine torque required to start the vehicle uphill. This moment depends on the angle of the longitudinal inclination of the car, the position of the accelerator pedal, the position of the clutch pedal and the selected gear.
  3. If the engine torque exceeds the calculated value required for starting uphill, the control unit activates the electromechanical drives of both rear brakes.
  4. The parking brake is released and the vehicle starts moving without rolling back. The electric parking brake is released automatically when the accelerator pedal is pressed. There is also a «manual» mode of removal — when you press the brake pedal.

Rice. 2. Scheme of action when starting off

When the brake is released, the electronic control unit analyzes the angle of the vehicle, the position of the accelerator pedal and the clutch release speed. When the clutch pedal is depressed, the pusher moves along with the piston towards the clutch position sensor. A permanent magnet is attached to the piston, which interacts with three Hall elements mounted on a common printed circuit board. When the magnet passes near the Hall elements, signals are generated in them, which are processed by the electronic circuit and sent to the appropriate vehicle control units (Fig. 3).

Rice. 3. Scheme of action when pressing the clutch pedal

Hall element 1 belongs to the category of digital sensors. The signal generated by it is sent to the engine control unit. This signal disables the vehicle speed controller.

Hall element 2 is analog. It generates a pulse width modulated (PWM) signal, which is sent to the electromechanical parking brake control unit. Based on this signal, it determines the position of the clutch pedal, which is used in the control unit when calculating the moment when the parking brake is turned off in the dynamic vehicle control mode when starting off.

Hall element 3 is digital. The signal generated by it is sent to the onboard network control unit, by which the latter “learns” that the clutch is disengaged and allows the engine to be started. [1,2]

In this paper, an electric parking brake is considered, which makes life easier for the driver of the car. The electric parking brake has many functions and will be useful in many situations.

Versatility will soon allow, if not to oust, then reduce the number of cars with a mechanical parking brake. An electric parking brake has a number of advantages over a conventional mechanical brake, namely:

Simplifies the manufacturing process. The state control is provided by means of a self-diagnostic system.

The electromechanical parking brake is a system whose action is constantly monitored by electronic means.

The advantages of the electric parking brake are already evident, and the process of computerization of the automotive industry is moving forward. Therefore, the process when the electric parking brake will be put on most cars is only a matter of time. The development of electric brakes will continue because this system has the potential to greatly improve a vehicle’s braking performance.

Literature:

  1. Self-education program manual 346. Electromechanical parking brake / 35 — p.
  2. Heading: brake systems [Electronic resource] // http://ustroistvo-avtomobilya.ru/ (Date of access: 04/05/2016, access mode — free).

Basic terms (automatically generated) : control unit, electric parking brake, electromechanical parking brake, parking brake, hall element, signal, ABS, AUTO, CAN, dynamic control.

Keywords

Control block,

sensors,

electric parking brake

electric parking brake, control unit, sensors

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Block control is designed to process signals sensors and perform automatic or manual0044 .

Automated

control system … | young scientist

The system must: control the robotic arm; provide

Servo motors equipped with electromagnetic brakes

Manual control is carried out by visual control elements user interface.

Repair of wheelsets of a locomotive on a rail…

Due to the large dynamic and static loads that occur during the operation of locomotives, the wheel pair comb is erased on the working surface.

Tire pressure gauge | Journal article…

If the RKA recognizes signal hand brake or electromechanical parking brake , then it is automatically switched off for the duration of this signal . RKA does not control the pressure in the spare tire, in the «dock» and in the trailer wheels.

New scheme for transmitting

signal from ABS sensor to car ECU

Acting on the suspension, steering Management , as well as brake System , in particular

Differentiated sensors Hall belong to the group of active sensors ABS

1. The presence of a permanent electrical communication between the sensor and electronic bloc . (ECU)…

Fault analysis of

brake equipment wagons

Parking brake .

To avoid these problems in winter, locomotive crews and rolling stock personnel require special skills in operation, control and service brakes [4].

The use of rotor position sensors to create…

To date, the development and research of electromechanical systems with contactless DC motors as an object control

Fig. 5. Communication signals rotor position sensor and sector boundaries when using sensors Hall .

Choice

EV Engine Control System

‒ electronic control system design elements

‒ possibility of movement in coasting mode with subsequent smooth acceleration or electric deceleration

Improving vehicle stability with increased…

Unequal adjustment of wheel brakes .

Block control is designed to process signals sensors and perform automatic or manual0044 .

Automated

control system … | young scientist

The system must: control the robotic arm; provide

Servo motors equipped with electromagnetic brakes

Manual control is carried out by visual control elements user interface.

Repair of wheelsets of a locomotive on a rail…

Due to the large dynamic and static loads that occur during the operation of locomotives, the wheel pair comb is erased on the working surface.

Audi A3 Instrument cluster, combi-processor in instrument cluster, parking brake control



  • 1. Operating instructions
  • 2. Routine care and maintenance
  • 3. Engine
  • 4. Cooling, heating systems
  • 5. Power supply and exhaust systems
  • 6. Engine electrical equipment
  • 7.0063

  • 8. Automatic transmission and 4WD models
  • 9. Clutch and drive shafts
  • 10. Brake system
  • 11. Suspension and steering
  • 12. Body
  • 13. Onboard electrical equipment
  • 14. Wiring diagrams
    • 14.1. Explanatory notes to the wiring diagrams
    • 14.2. Designations on electrical diagrams
    • 14.3. Ground connections (only for countries with cold climates)
    • 14.4. Mass connections
    • 14.5. Battery, starter, alternator, main fuse box / battery
    • 14.6. Control unit for Motronic, fuel pump relay, injectors, ignition system, hall sensor
    • 14.7. Control unit for Motronic, knock sensors, engine speed sensor, coolant temperature sensor
    • 14.8. Control unit for Motronic, throttle control unit
    • 14.9. Control unit for Motronic, oxygen sensor, air mass meter, camshaft adjuster, canister purge solenoid valve, intake manifold switch
    • 14. 10. Cigarette lighter switch, overload relay for terminal X
    • 14.11. Light switch, steering column switch left
    • 14.12. Lighting regulator for switches and control devices, headlight range adjustment, windshield wiper and washer, headlight range adjustment (does not apply to the Motronic system of the turbo engine 1.8 l 154 kW S3)
    • 14.13. Right column switch, screen wiper and washer, rear window cleaner
    • 14.14. Parking lights, brake lights, reversing lights, fog lights
    • 14.15. Horn, heated rear window, cigarette lighter, ashtray lighting
    • 14.16. Fuse box, heated washer nozzle, glove box lighting, license plate light
    • 14.17. Fuse box, heated nozzle, glove box lighting, license plate light
    • 14.18. Fuse box
    • 14.19. Fuse box, diagnostic plug, radio preparation
    • 14.20. Turn Signals and Hazards
    • 14.21. Trunk lighting lamps, door contact switch
    • 14.22. Instrument panel unit, combi-processor in instrument panel unit, parking brake control
    • 14. 23. Instrument panel block, combi-processor in the instrument panel block, tachometer, speedometer, fuel reserve indicator, fuel pump, coolant control, oil pressure switch, analog clock
    • 14.24. Instrument panel block, combi-processor in the instrument panel block, reserve/fuel level sensor, indicator lamps
    • 14.25. Instrument panel unit, combi-processor in the instrument panel unit, anti-theft protection reading coil, speed sensor, warning lamps, seat belt control
    • 14.26. Coolant fan, fresh air fan
    • 14.27. Battery, starter, alternator, main fuse block / battery
    • 14.28. Control unit for Simos, fuel pump relay, injectors, ignition system, intake manifold changeover valve
    • 14.29. Control unit for Simos, knock sensor, engine speed sensor, coolant temperature sensor, Hall sensor
    • 14.30. Control unit for Simos, throttle control unit, power steering switch
    • 14.31. Control unit for Simos, oxygen sensor, air mass meter, adsorber system solenoid valve
    • 14.