Report to IEA on ERS, specifically about Scania's experiences and insights from various pilot projects and field trials with the E-Highway system from Siemens Mobility. In the end of the presentation some reflections on how to dimension an ERS ("E-Road") are shared.
Report to IEA on ERS, specifically about Scania's experiences and insights from various pilot projects and field trials with the E-Highway system from Siemens Mobility. In the end of the presentation some reflections on how to dimension an ERS ("E-Road") are shared.
In support of removal of periodic calibration of Flight RecordersReno Filla
This is not a Position Paper on Periodic Pressure Altitude Calibration of FR.
This is a paper on why the above is not needed.
This document will not contain a technical discussion of if, how, why and when the accuracy of pressure sensors in Flight Recorders possibly deviates and whether it then varies with absolute altitude, calendar age, frequency of use or some other variable.
We will not present statistical evidence for either occurrence or non-occurrence of "drifting" of pressure readings. Nobody has these data anyway.
What we will do in this document is to deliberate why we in our sport measure altitude to begin with and what the “good enough” level of accuracy is. From there we will examine how this can be achieved in FAI's legal framework and address possible needs for adjustment of the Sporting Code, if necessary at all.
Spoiler alert: the conclusion will be that unlike regularly visiting a dentist, periodically having to calibrate the pressure sensor in your Flight Recorder is not actually good for you. It is at best an expensive nuisance and if we can get by without this recurring hassle then we all are off for the better.
Brave new electric world: will hydraulics survive and who needs hydraulics anyway? A provocation delivered by an unsentimental system integrator. A real engineer doesn't "love" or "hate" but makes balanced and well-considered technology decisions based on performance, efficiency, application, quality, robustness, cost, etc.
Reflections on Research (and a Fractal Perspective on Systems Engineering)Reno Filla
This round-kick presentation for the 2022 LINK-SIC workshop (https://liu.se/en/article/link-sic-workshop-2022) spans the arc from research and predevelopment to knowledge in general (vs belief and opinion), systems engineering and the ongoing specialization/fragmentation of engineering , uncertainty, the climate-change related challenges ahead - and more.
Presentation for graduate students: Zoom in to learn the basics and refine your knowledge, then zoom out for perspective and to make connections. Then repeat until convergence. Which you might attain until the next disruption. ;-)
Der Diplom-Ingenieur Reno Filla ist verheiratet und hat ein Kind. Nach seinem Abschluss 1998 an unserer Hochschule ging er zu Volvo nach Schweden, wo er bis heute mit seiner Familie lebt. Seine Freizeit verbringt er gerne mit Segelfliegen. Über seine Zeit des Studiums und sein Werdegang nach dem Studium berichtet er uns in diesem Interview.
https://www.hs-magdeburg.de/hochschule/einrichtungen/alumni-management/interviews.html
Keynote presentation held at the 15th Scandinavian International Conference on Fluid Power 2017 in Linköping, Sweden
It covers the topics energy efficiency, electromobility, operator assistance, automation, connectivity and site solutions.
Towards Finding the Optimal Bucket Filling Strategy through SimulationReno Filla
The purpose of earth-moving equipment like wheel loaders is to engage with the ground or other material. It is therefore obvious that the bucket filling phase must be included when studying optimal machine control over a complete working cycle because total productivity and efficiency of the machine are to a large extent determined by it. This paper reports and discusses the results of research into how to utilize Discrete Element Method simulations in combination with Optimal Control to find the optimal bucket filling strategy and what has been learned regarding preparing and conducting both simulations of bucket filling and physical testing for verification. This paper also discloses which bucket filling strategy appears to be optimal, based on the results so far – and why we cannot be completely certain.
Towards Finding the Optimal Bucket Filling Strategy through SimulationReno Filla
The purpose of earth-moving equipment like wheel loaders is to engage with the ground or other material. It is therefore obvious that the bucket filling phase must be included when studying optimal machine control over a complete working cycle because total productivity and efficiency of the machine are to a large extent determined by it. This paper reports and discusses the results of research into how to utilize Discrete Element Method simulations in combination with Optimal Control to find the optimal bucket filling strategy and what has been learned regarding preparing and conducting both simulations of bucket filling and physical testing for verification. This paper also discloses which bucket filling strategy appears to be optimal, based on the results so far – and why we cannot be completely certain.
Electromobility and Construction MachineryReno Filla
The search for energy efficient solutions goes on also for construction machinery, and hybrids are a given topic. This seminar looks at related research and pre-development at Volvo Construction Equipment and focuses on wheel loaders. In these machines, drive train and hydraulics are both equally powerful and compete for the limited engine torque. There is a large theoretic potential for the increase of energy efficiency, but to leverage this, a holistic approach is needed. The wheel loader is examined as a system with drive train and hydraulics as two parallel energy conversion systems that show a complex interaction with each other and the power source. Using a systematic design approach, several principle design solutions for hybridization can be found and are discussed.
Gliding Contest Scoring: current and proposal 8.1.4 for the 2016 IGC plenaryReno Filla
This is a supporting presentation to explain how scoring currently works (visualizing the official equations in a rearranged way) and what the effect of Dutch proposal 8.1.4 will be
For the joint IQPC Conferences "Automation & Connectivity for Mobile Machinery" and "HMI for Mobile Machinery", for which I also had the honor to serve as the conference chairman.
Selecting representative working cycles from large measurement data setsReno Filla
A tool has been developed that selects one representative cycle, or a set of cycles, from large measurement data sets based on a specified set of repetitive signals, possibly weighed in their importance. Three different computation methods have been developed and tested, all preserving physical correctness. These approaches are described in detail and compared in the paper.
Evaluating the efficiency of wheel loader bucket designs and bucket filling s...Reno Filla
In this paper we outline how optimising bucket design and bucket filling is connected to improving the total energy efficiency of a wheel loader. Results from our work with particle simulations are shown and it is discussed that, while ideally such simulations should be coupled to models of the machine, operator and the work environment, it is nonetheless possible to simulate stand-alone and utilise simple performance indicators to compare different bucket designs and different bucket filling strategies in a reasonably fair manner. Suitable and less suitable performance indicators are derived and discussed in detail.
A study to compare trajectory generation algorithms for automatic bucket fill...Reno Filla
In this paper we study how automatic bucket filling can be realised in wheel loaders. Based on observations of how experienced operators use their machines in bucket applications, four algorithms for parametric generation of bucket trajectories are investigated. The algorithms have been developed and tuned using a simplistic static integration-based approach.
The Discrete Element Method is used to validate the predictive capability of the aforementioned algorithms. Results and limitations of the simplistic approach in comparison to the numerical results, as well as specific simulation-related challenges and findings are reported and discussed.
Fuel efficiency in construction equipment – optimize the machine as one systemReno Filla
In order to further optimize the fuel efficiency and productivity of construction equipment, 3 main potentials have been identified:
• job site optimization
• machine use optimization
• machine optimization
The focus of this paper is the machine optimization on the example of a wheel loader.
Optimizing losses in individual components must be done, but it will not be a game changer for fuel efficiency improvement. Three areas for promising improvement potentials:
• Optimizing the systems interactions
• Decoupling of systems
• Reduction of losses
One example is shown for a total machine optimization approach: the “Reverse by Braking” function is using the machine operating brakes to slow down the machine during power shuttle instead of using the engine power.
Decoupling of systems requires continuously variable transmission (CVT) functionality for the driveline. This can be achieved with hydraulic or electric CVTs. Two examples for decoupling systems are shown: the Volvo hydrostatic powersplit CVT prototype and a series hybrid wheel loader.
Further future potentials are explored, while the driveline and hydraulic technology are the enablers for drastic improvements: electrified site, plug in hybrid, alternative fuels, and new machine concepts.
Classification of physiological signals for wheel loader operators using Mult...Reno Filla
Sensor signal fusion is becoming increasingly important in many areas including medical diagnosis and classification. Today, clinicians/experts often do the diagnosis of stress, sleepiness and tiredness on the basis of information collected from several physiological sensor signals. Since there are large individual variations when analyzing the sensor measurements and systems with single sensor, they could easily be vulnerable to uncertain noises/interferences in such domain; multiple sensors could provide more robust and reliable decision. Therefore, this paper presents a classification approach i.e. Multivariate Multiscale Entropy Analysis–Case-Based Reasoning (MMSE–CBR) that classifies physiological parameters of wheel loader operators by combining CBR approach with a data level fusion method named Multivariate Multiscale Entropy (MMSE). The MMSE algorithm supports complexity analysis of multivariate biological recordings by aggregating several sensor measurements e.g., Inter-beat-Interval (IBI) and Heart Rate (HR) from Electrocardiogram (ECG), Finger Temperature (FT), Skin Conductance (SC) and Respiration Rate (RR). Here, MMSE has been applied to extract features to formulate a case by fusing a number of physiological signals and the CBR approach is applied to classify the cases by retrieving most similar cases from the case library. Finally, the proposed approach i.e. MMSE–CBR has been evaluated with the data from professional drivers at Volvo Construction Equipment, Sweden. The results demonstrate that the proposed system that fuses information at data level could classify ‘stressed’ and ‘healthy’ subjects 83.33% correctly compare to an expert’s classification. Furthermore, with another data set the achieved accuracy (83.3%) indicates that it could also classify two different conditions ‘adapt’ (training) and ‘sharp’ (real-life driving) for the wheel loader operators. Thus, the new approach of MMSE–CBR could support in classification of operators and may be of interest to researchers developing systems based on information collected from different sensor sources.
Optimizing the trajectory of a wheel loader working in short loading cyclesReno Filla
A study into alternative trajectories for wheel loaders working in short loading cycles has been conducted, examining other patterns than the traditional V- or Y-cycle. Depending on workplace setup and target function of the optimisation other trajectories can indeed prove beneficial. The results of this study can be used in operator models for offline simulations as well as for operator assistance or even in controllers for autonomous machines or energy management systems for non-conventional machines like hybrids.
Mental State Monitoring System for the Professional Drivers Based on Heart Ra...Reno Filla
The consequences of tiredness, drowsiness, stress and lack of concentration caused by a variety of different factors such as illness, sleep depletion, drugs and alcohol is a serious problem in traffic and when operating industrial equipment. This is especially important for professional drivers since both expensive equipment and lives may be at stake, e.g. in mining, construction and personal transportation, reduced concentration, stress or tiredness are known to be the cause of many accidents. A system which recognizes the state of the driver and e.g. suggests breaks when stress level is too high or driver is too tired would enable large savings and reduces accident. Today different sensors enable clinician to determine a driver’s status with high accuracy. The aim of the paper is to develop an intelligent system that can monitor drivers’ stress depending on psychological and behavioral conditions/status using heart rate variability. An experienced clinician is able to diagnose a person’s stress level based on sensor readings. Here, we propose a solution using case-based reasoning to diagnose individual driver’s stress. During calibration a number of individual parameters are established. The system also considers the feedback from the driver’s on how well the test was performed The validation of the approach is based on close collaboration with experts and measurements from 18 driver’s from Volvo Construction Equipment are used as reference.
http://www.mrtc.mdh.se/index.php?choice=publications&id=3046
In support of removal of periodic calibration of Flight RecordersReno Filla
This is not a Position Paper on Periodic Pressure Altitude Calibration of FR.
This is a paper on why the above is not needed.
This document will not contain a technical discussion of if, how, why and when the accuracy of pressure sensors in Flight Recorders possibly deviates and whether it then varies with absolute altitude, calendar age, frequency of use or some other variable.
We will not present statistical evidence for either occurrence or non-occurrence of "drifting" of pressure readings. Nobody has these data anyway.
What we will do in this document is to deliberate why we in our sport measure altitude to begin with and what the “good enough” level of accuracy is. From there we will examine how this can be achieved in FAI's legal framework and address possible needs for adjustment of the Sporting Code, if necessary at all.
Spoiler alert: the conclusion will be that unlike regularly visiting a dentist, periodically having to calibrate the pressure sensor in your Flight Recorder is not actually good for you. It is at best an expensive nuisance and if we can get by without this recurring hassle then we all are off for the better.
Brave new electric world: will hydraulics survive and who needs hydraulics anyway? A provocation delivered by an unsentimental system integrator. A real engineer doesn't "love" or "hate" but makes balanced and well-considered technology decisions based on performance, efficiency, application, quality, robustness, cost, etc.
Reflections on Research (and a Fractal Perspective on Systems Engineering)Reno Filla
This round-kick presentation for the 2022 LINK-SIC workshop (https://liu.se/en/article/link-sic-workshop-2022) spans the arc from research and predevelopment to knowledge in general (vs belief and opinion), systems engineering and the ongoing specialization/fragmentation of engineering , uncertainty, the climate-change related challenges ahead - and more.
Presentation for graduate students: Zoom in to learn the basics and refine your knowledge, then zoom out for perspective and to make connections. Then repeat until convergence. Which you might attain until the next disruption. ;-)
Der Diplom-Ingenieur Reno Filla ist verheiratet und hat ein Kind. Nach seinem Abschluss 1998 an unserer Hochschule ging er zu Volvo nach Schweden, wo er bis heute mit seiner Familie lebt. Seine Freizeit verbringt er gerne mit Segelfliegen. Über seine Zeit des Studiums und sein Werdegang nach dem Studium berichtet er uns in diesem Interview.
https://www.hs-magdeburg.de/hochschule/einrichtungen/alumni-management/interviews.html
Keynote presentation held at the 15th Scandinavian International Conference on Fluid Power 2017 in Linköping, Sweden
It covers the topics energy efficiency, electromobility, operator assistance, automation, connectivity and site solutions.
Towards Finding the Optimal Bucket Filling Strategy through SimulationReno Filla
The purpose of earth-moving equipment like wheel loaders is to engage with the ground or other material. It is therefore obvious that the bucket filling phase must be included when studying optimal machine control over a complete working cycle because total productivity and efficiency of the machine are to a large extent determined by it. This paper reports and discusses the results of research into how to utilize Discrete Element Method simulations in combination with Optimal Control to find the optimal bucket filling strategy and what has been learned regarding preparing and conducting both simulations of bucket filling and physical testing for verification. This paper also discloses which bucket filling strategy appears to be optimal, based on the results so far – and why we cannot be completely certain.
Towards Finding the Optimal Bucket Filling Strategy through SimulationReno Filla
The purpose of earth-moving equipment like wheel loaders is to engage with the ground or other material. It is therefore obvious that the bucket filling phase must be included when studying optimal machine control over a complete working cycle because total productivity and efficiency of the machine are to a large extent determined by it. This paper reports and discusses the results of research into how to utilize Discrete Element Method simulations in combination with Optimal Control to find the optimal bucket filling strategy and what has been learned regarding preparing and conducting both simulations of bucket filling and physical testing for verification. This paper also discloses which bucket filling strategy appears to be optimal, based on the results so far – and why we cannot be completely certain.
Electromobility and Construction MachineryReno Filla
The search for energy efficient solutions goes on also for construction machinery, and hybrids are a given topic. This seminar looks at related research and pre-development at Volvo Construction Equipment and focuses on wheel loaders. In these machines, drive train and hydraulics are both equally powerful and compete for the limited engine torque. There is a large theoretic potential for the increase of energy efficiency, but to leverage this, a holistic approach is needed. The wheel loader is examined as a system with drive train and hydraulics as two parallel energy conversion systems that show a complex interaction with each other and the power source. Using a systematic design approach, several principle design solutions for hybridization can be found and are discussed.
Gliding Contest Scoring: current and proposal 8.1.4 for the 2016 IGC plenaryReno Filla
This is a supporting presentation to explain how scoring currently works (visualizing the official equations in a rearranged way) and what the effect of Dutch proposal 8.1.4 will be
For the joint IQPC Conferences "Automation & Connectivity for Mobile Machinery" and "HMI for Mobile Machinery", for which I also had the honor to serve as the conference chairman.
Selecting representative working cycles from large measurement data setsReno Filla
A tool has been developed that selects one representative cycle, or a set of cycles, from large measurement data sets based on a specified set of repetitive signals, possibly weighed in their importance. Three different computation methods have been developed and tested, all preserving physical correctness. These approaches are described in detail and compared in the paper.
Evaluating the efficiency of wheel loader bucket designs and bucket filling s...Reno Filla
In this paper we outline how optimising bucket design and bucket filling is connected to improving the total energy efficiency of a wheel loader. Results from our work with particle simulations are shown and it is discussed that, while ideally such simulations should be coupled to models of the machine, operator and the work environment, it is nonetheless possible to simulate stand-alone and utilise simple performance indicators to compare different bucket designs and different bucket filling strategies in a reasonably fair manner. Suitable and less suitable performance indicators are derived and discussed in detail.
A study to compare trajectory generation algorithms for automatic bucket fill...Reno Filla
In this paper we study how automatic bucket filling can be realised in wheel loaders. Based on observations of how experienced operators use their machines in bucket applications, four algorithms for parametric generation of bucket trajectories are investigated. The algorithms have been developed and tuned using a simplistic static integration-based approach.
The Discrete Element Method is used to validate the predictive capability of the aforementioned algorithms. Results and limitations of the simplistic approach in comparison to the numerical results, as well as specific simulation-related challenges and findings are reported and discussed.
Fuel efficiency in construction equipment – optimize the machine as one systemReno Filla
In order to further optimize the fuel efficiency and productivity of construction equipment, 3 main potentials have been identified:
• job site optimization
• machine use optimization
• machine optimization
The focus of this paper is the machine optimization on the example of a wheel loader.
Optimizing losses in individual components must be done, but it will not be a game changer for fuel efficiency improvement. Three areas for promising improvement potentials:
• Optimizing the systems interactions
• Decoupling of systems
• Reduction of losses
One example is shown for a total machine optimization approach: the “Reverse by Braking” function is using the machine operating brakes to slow down the machine during power shuttle instead of using the engine power.
Decoupling of systems requires continuously variable transmission (CVT) functionality for the driveline. This can be achieved with hydraulic or electric CVTs. Two examples for decoupling systems are shown: the Volvo hydrostatic powersplit CVT prototype and a series hybrid wheel loader.
Further future potentials are explored, while the driveline and hydraulic technology are the enablers for drastic improvements: electrified site, plug in hybrid, alternative fuels, and new machine concepts.
Classification of physiological signals for wheel loader operators using Mult...Reno Filla
Sensor signal fusion is becoming increasingly important in many areas including medical diagnosis and classification. Today, clinicians/experts often do the diagnosis of stress, sleepiness and tiredness on the basis of information collected from several physiological sensor signals. Since there are large individual variations when analyzing the sensor measurements and systems with single sensor, they could easily be vulnerable to uncertain noises/interferences in such domain; multiple sensors could provide more robust and reliable decision. Therefore, this paper presents a classification approach i.e. Multivariate Multiscale Entropy Analysis–Case-Based Reasoning (MMSE–CBR) that classifies physiological parameters of wheel loader operators by combining CBR approach with a data level fusion method named Multivariate Multiscale Entropy (MMSE). The MMSE algorithm supports complexity analysis of multivariate biological recordings by aggregating several sensor measurements e.g., Inter-beat-Interval (IBI) and Heart Rate (HR) from Electrocardiogram (ECG), Finger Temperature (FT), Skin Conductance (SC) and Respiration Rate (RR). Here, MMSE has been applied to extract features to formulate a case by fusing a number of physiological signals and the CBR approach is applied to classify the cases by retrieving most similar cases from the case library. Finally, the proposed approach i.e. MMSE–CBR has been evaluated with the data from professional drivers at Volvo Construction Equipment, Sweden. The results demonstrate that the proposed system that fuses information at data level could classify ‘stressed’ and ‘healthy’ subjects 83.33% correctly compare to an expert’s classification. Furthermore, with another data set the achieved accuracy (83.3%) indicates that it could also classify two different conditions ‘adapt’ (training) and ‘sharp’ (real-life driving) for the wheel loader operators. Thus, the new approach of MMSE–CBR could support in classification of operators and may be of interest to researchers developing systems based on information collected from different sensor sources.
Optimizing the trajectory of a wheel loader working in short loading cyclesReno Filla
A study into alternative trajectories for wheel loaders working in short loading cycles has been conducted, examining other patterns than the traditional V- or Y-cycle. Depending on workplace setup and target function of the optimisation other trajectories can indeed prove beneficial. The results of this study can be used in operator models for offline simulations as well as for operator assistance or even in controllers for autonomous machines or energy management systems for non-conventional machines like hybrids.
Mental State Monitoring System for the Professional Drivers Based on Heart Ra...Reno Filla
The consequences of tiredness, drowsiness, stress and lack of concentration caused by a variety of different factors such as illness, sleep depletion, drugs and alcohol is a serious problem in traffic and when operating industrial equipment. This is especially important for professional drivers since both expensive equipment and lives may be at stake, e.g. in mining, construction and personal transportation, reduced concentration, stress or tiredness are known to be the cause of many accidents. A system which recognizes the state of the driver and e.g. suggests breaks when stress level is too high or driver is too tired would enable large savings and reduces accident. Today different sensors enable clinician to determine a driver’s status with high accuracy. The aim of the paper is to develop an intelligent system that can monitor drivers’ stress depending on psychological and behavioral conditions/status using heart rate variability. An experienced clinician is able to diagnose a person’s stress level based on sensor readings. Here, we propose a solution using case-based reasoning to diagnose individual driver’s stress. During calibration a number of individual parameters are established. The system also considers the feedback from the driver’s on how well the test was performed The validation of the approach is based on close collaboration with experts and measurements from 18 driver’s from Volvo Construction Equipment are used as reference.
http://www.mrtc.mdh.se/index.php?choice=publications&id=3046
Symptoms like intermittent starting and key recognition errors signal potential problems with your Mercedes’ EIS. Use diagnostic steps like error code checks and spare key tests. Professional diagnosis and solutions like EIS replacement ensure safe driving. Consult a qualified technician for accurate diagnosis and repair.
"Trans Failsafe Prog" on your BMW X5 indicates potential transmission issues requiring immediate action. This safety feature activates in response to abnormalities like low fluid levels, leaks, faulty sensors, electrical or mechanical failures, and overheating.
Core technology of Hyundai Motor Group's EV platform 'E-GMP'Hyundai Motor Group
What’s the force behind Hyundai Motor Group's EV performance and quality?
Maximized driving performance and quick charging time through high-density battery pack and fast charging technology and applicable to various vehicle types!
Discover more about Hyundai Motor Group’s EV platform ‘E-GMP’!
Fleet management these days is next to impossible without connected vehicle solutions. Why? Well, fleet trackers and accompanying connected vehicle management solutions tend to offer quite a few hard-to-ignore benefits to fleet managers and businesses alike. Let’s check them out!
5 Warning Signs Your BMW's Intelligent Battery Sensor Needs AttentionBertini's German Motors
IBS monitors and manages your BMW’s battery performance. If it malfunctions, you will have to deal with an array of electrical issues in your vehicle. Recognize warning signs like dimming headlights, frequent battery replacements, and electrical malfunctions to address potential IBS issues promptly.
In this presentation, we have discussed a very important feature of BMW X5 cars… the Comfort Access. Things that can significantly limit its functionality. And things that you can try to restore the functionality of such a convenient feature of your vehicle.
Why Is Your BMW X3 Hood Not Responding To Release CommandsDart Auto
Experiencing difficulty opening your BMW X3's hood? This guide explores potential issues like mechanical obstruction, hood release mechanism failure, electrical problems, and emergency release malfunctions. Troubleshooting tips include basic checks, clearing obstructions, applying pressure, and using the emergency release.
𝘼𝙣𝙩𝙞𝙦𝙪𝙚 𝙋𝙡𝙖𝙨𝙩𝙞𝙘 𝙏𝙧𝙖𝙙𝙚𝙧𝙨 𝙞𝙨 𝙫𝙚𝙧𝙮 𝙛𝙖𝙢𝙤𝙪𝙨 𝙛𝙤𝙧 𝙢𝙖𝙣𝙪𝙛𝙖𝙘𝙩𝙪𝙧𝙞𝙣𝙜 𝙩𝙝𝙚𝙞𝙧 𝙥𝙧𝙤𝙙𝙪𝙘𝙩𝙨. 𝙒𝙚 𝙝𝙖𝙫𝙚 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙥𝙡𝙖𝙨𝙩𝙞𝙘 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙪𝙨𝙚𝙙 𝙞𝙣 𝙖𝙪𝙩𝙤𝙢𝙤𝙩𝙞𝙫𝙚 𝙖𝙣𝙙 𝙖𝙪𝙩𝙤 𝙥𝙖𝙧𝙩𝙨 𝙖𝙣𝙙 𝙖𝙡𝙡 𝙩𝙝𝙚 𝙛𝙖𝙢𝙤𝙪𝙨 𝙘𝙤𝙢𝙥𝙖𝙣𝙞𝙚𝙨 𝙗𝙪𝙮 𝙩𝙝𝙚 𝙜𝙧𝙖𝙣𝙪𝙡𝙚𝙨 𝙛𝙧𝙤𝙢 𝙪𝙨.
Over the 10 years, we have gained a strong foothold in the market due to our range's high quality, competitive prices, and time-lined delivery schedules.
Ever been troubled by the blinking sign and didn’t know what to do?
Here’s a handy guide to dashboard symbols so that you’ll never be confused again!
Save them for later and save the trouble!
What Exactly Is The Common Rail Direct Injection System & How Does It WorkMotor Cars International
Learn about Common Rail Direct Injection (CRDi) - the revolutionary technology that has made diesel engines more efficient. Explore its workings, advantages like enhanced fuel efficiency and increased power output, along with drawbacks such as complexity and higher initial cost. Compare CRDi with traditional diesel engines and discover why it's the preferred choice for modern engines.
What Does the PARKTRONIC Inoperative, See Owner's Manual Message Mean for You...Autohaus Service and Sales
Learn what "PARKTRONIC Inoperative, See Owner's Manual" means for your Mercedes-Benz. This message indicates a malfunction in the parking assistance system, potentially due to sensor issues or electrical faults. Prompt attention is crucial to ensure safety and functionality. Follow steps outlined for diagnosis and repair in the owner's manual.
1. 1. Propulsion power, constant speed at plain level
• Air resistance
• Rolling resistance tire-ground
• Powertrain losses
Rough rules of thumb for 40t truck:
• 85 km/h (53 mph) 100kW
• 90 km/h (56 mph) 120kW
(20% more power for 6% more speed!)
Example
power requirement
2. 1. Propulsion power, constant speed at plain level
• Air resistance
• Rolling resistance tire-ground
• Powertrain losses
Example
power requirement
Rough rules of thumb for 40t truck:
• 85 km/h (53 mph) 100kW
• 90 km/h (56 mph) 120kW
…for 20t truck:
80kW
90kW
(Only 25% less power for >50% less freight!)
20t
40t
This is also one reason why it is more efficient with heavier loads.
3. 2. Propulsion power, constant speed uphill
• Inclination
• Air resistance
• Rolling resistance tire-ground
• Powertrain losses
Rough rule of thumb for driving at 90 km/h (56 mph)
with 40t truck:
• 120kW additional power per 1% inclination
power requirement
Example
120 kW
D 120 kW
D 120 kW
D 120 kW
D 120 kW
with 20t truck:
• 60kW additional power per 1% inclination