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Design of a Cabin Tilting System of heavy trucks, a multi degree of freedom mechanism, is a challenge. Factors like adequate tilting angle, cabin styling, packaging, non interference of tilting system with ride comfort, forces in the system, specifications of the hydraulic system, are all very important for designing the system. Numerous considerations make the design process highly iterative hence longer design time. This paper primarily focuses on Kinematics and Dynamic analysis of the system in ADAMS and validation of system with real time testing results. Intention of this work is to make a parametric ADAMS model and link it to a Knowledge Based Engineering application to facilitate designer to quickly carry out design iterations for reducing development time. The Knowledge Based Engineering software is made using object oriented language called ‘Object Definition Language’ which has been developed using C and C++ software languages.

Powertrain electrification is becoming increasingly common in the transportation sector to address the challenges of global warming and deteriorating air quality. This paper introduces a novel “Build Your Hybrid” approach to experience and test various hybrid powertrain concepts. This approach is applied to the light commercial vehicles (LCV) segment due to the attractive combination of a Diesel engine and a partly electrified powertrain. For this purpose, a demonstrator vehicle has been set up with a flexible P02 hybrid topology and a prototype Hybrid Control Unit (HCU). Based on user input, the HCU software modifies the control functions and simulation models to emulate different sub-topologies and levels of hybridization in the demonstrator vehicle. Three powertrain concepts are considered for LCVs: HV P2, 48V P2 and 48V P0 hybrid. Dedicated hybrid control strategies are developed to take full advantage of the synergies of the electrical system and reduce CO2 and NOx emissions.

The SmartCap telematics device can be used to monitor new and existing Perkins mechanical and electronic engines, sending data directly to the Perkins My Engine App.

With the increase in demand for energy sustainability projects over the last few years, the Brazilian commercial vehicle industry was guided to develop projects based on ESG policies. Aligned with this need, an initiative that ended up becoming a reality was the “e-Sys” electrification solution, by the company Suspensys. This solution includes a power source (battery), an e-powertrain (motors, inverters and drive axle) and an intelligent control system (VCU with embedded code and sensors). The main motivational drive was the hybridization of semi-trailers, in order to generate a reduction in fuel consumption in cargo transport in Brazil, in addition to the consequent reduction in the emission of particles into the environment and promoting the safety of the operation. It was also adopted, as a premise of the project, that the electrification system was totally independent of the truck’s electronic system (stand alone system), in order to facilitate the operation of the fleet owner.

ZF debuts ADAS deal and flexible inverter tech at CES 2022

With the ELD (electronic logging device) law fast approaching in December 2017, the Cummins-created company ZED Connect now provides a low-cost option for small and mid-sized fleets.

Join other young professionals in the mobility industry at the COMVEC™ meeting.

Career development planning is critical to getting the most out of one's working years. It should start when one starts a career, but even if you start in mid-career, it's not too late. For those who haven't done it, career planning may seem difficult and confusing. Increasingly, your community library and state employment service agency provides valuable help in the form of computerized and manual aids to career planning and job-getting. This article follows Dave Brown, a mid-career engineer, through the career-planning process, introduces library and government resources to you and provides a list of computer programs relating to career planning and job getting.

Yield potential was predicted and mapped for three corn fields in Central Illinois, using digital aerial color infrared images. Three methods, namely statistical (regression) modeling, genetic algorithm optimization and artificial neural networks, were used for developing yield models. Two image resolutions of 3 and 6 m/pixel were used for modeling. All the models were trained using July 31 image and tested using images from July 2 and August 31, all from 1998. Among the three models, artificial neural networks gave best performance, with a prediction error less than 30%. The statistical model resulted in prediction errors in the range of 23 to 54%. The lower resolution images resulted in better prediction accuracy compared to resolutions higher than or equal to the yield resolution. Images after pollination resulted in better accuracy compared to images before pollination.

Data obtained when harvesting with a combine equipped with a yield monitor were used to develop yield maps. A prototype yield monitor was developed that uses a combination of light emitters and receivers mounted in a rectangular frame. The monitor was mounted in the combine in the top of the clean grain elevator. As grain flows through the monitor, a voltage change proportional to light reduction was recorded. This voltage was then correlated to grain flow rate. At the same time, site-specific location was recorded using the global positioning satellites (GPS) system. The location data, yield monitor output, cutting width, and combine forward speed were stored in a spreadsheet format. The data were then used to prepare the yield maps.

Tractor semi-trailer stability during emergency braking and steering maneuvers has been an issue that was improved through implementation of Anti-lock Braking Systems (ABS). Although some improvements have been achieved, the need for new control methodologies is evident from the number of accidents reported by NHTSA involving tractor semi-trailers. In this paper, a new control algorithm has been developed for improving the tractor semi-trailer stability through utilization of yaw moment, i.e., tire differential braking strategy. This new, multifaceted, adaptive control algorithm which allows the estimation of the unknown vehicle parameters through use of the adaptation laws is based on the Lyapunov Direct Method. A tractor semi-trailer model with four degrees of freedom was used to develop the control algorithm and the adaptation laws. The controller was implemented on a 2-axle tractor 1-axle van trailer in TruckSim 7©.

This book contains 46 papers covering the past ten years (1999-2008) of research on various by-wire systems, looking at the challenges faced by design engineers as traditional hydraulic or mechanical linkages are replaced by electronic control systems. Topics covered include: Architecture and Software Considerations; Brake-By-Wire Systems; Steer-By-Wire Systems; Drive-By-Wire Systems; Communication Networks The book also includes editor Ronald K. Jurgen's introduction "Replacing Hydraulics and Mechanics with Electronics" and a concluding section on future trends in X-By-Wire systems.

It is the goal of this paper, to discuss the impact of electronics on modern day commercial vehicles an buses. Seen from the position of advanced engineering of an European commercial vehicle manufacturer, the emphasis will be placed on the mechanical-electronical system itself, rather than the electronics themselves. User friendly, logic protected systems will minimize operator unfamiliarity and misapplication and will offer not only component control, but shortly the integration of all of these subsystems in the total vehicle control. Total vehicle control will be the ultimate result, when the driver, the truck and the environment are brought together. Such vehicles will be more responsive, safer and easier to drive than today's commercial vehicles and buses and offer a cost effective utilization of these new technologies to the customer.