Predictive maintenance is a crucial yet challenging task in many industrial applications. This work explores a large repository of existing techniques and approaches to process historical data and predict if an asset is at risk of failure. In …

This paper explores the application of predictive maintenance (PdM) in vehicle management, focusing on improving performance and reliability of critical truck components. By leveraging a newly acquired, comprehensive real-world dataset, the study …

Developments of the internal combustion engine are continuing to contribute to better air quality and mitigation of climate change. AECC and FEV jointly developed a Euro 7 demonstrator truck which shows that zero-impact emissions can be achieved …

The development of battery electric (BE) heavy-duty trucks (HDTs) is highly limited to the short cycling life of batteries. In this paper, we propose a battery aging-conscious control strategy for extended battery life by optimizing the speed …

A study is presented focusing on the set of variables associated with the link between cognitive aspects, usability and fatigue in the context of the safe operation of heavy vehicles in a surface coal mine, in order to understand how driving …

In this paper, we discuss the motivation to create a novel active suspension control method for trucks and Heavy Goods Vehicle (HGV) based on intelligent control using hybrid Artificial Neural Network Particles Swarm Optimization (ANN-PSO). There …

Any plausible path to limiting the global temperature rise to 1.5 °C must consider China’s decarbonization trajectory given its position as the world’s largest energy consumer and carbon emitter (IEA 2021 ). At the recently concluded 26th …

The study is devoted to the problem of reducing energy consumption by heavy-duty vehicles on autobahns. The task of optimising truck transport cycles, which consist of acceleration, free rolling, and deceleration under the action of external …

Climate change and increasing greenhouse gas emissions are the main environmental issues that have a direct effect on society, of which road transport is the largest contributor of emissions. Last years, road transport was responsible for about …

With the increase of truck ownership year by year, traffic accidents involving heavy trucks occur frequently and the consequence is more serious. The accident is the result of the maladjustment of various factors in the “man-vehicle-environment” …

The development of commercial vehicle technology is strongly influenced by the trends of new drives and automation. In order to develop new drive train concepts and associated operating strategies, a simulation methodology was created. It includes …

We will discuss why we are interested in developing a brand new active suspension control approach for trucks that is supported by Deep Learning in this article. The mechanical suspension can be classified as passive, semi-active, or active. The …

The decarbonization of vehicles in the heavy-duty sector is an important contribution to achieving the climate protection targets agreed in Paris. In an interdisciplinary project led by the Bern University of Applied Sciences for Engineering and …

In an electrified commercial vehicle, the battery system is one of the prominent powertrain elements that require safe design due to its complex structure. The positioning of a battery system in one location may create disadvantages. AVL has …

Mild hybrid drive systems on a 48-V basis offer cost and packaging advantages in comparison to high-voltage applications. Their lower voltage, however, means that the expected currents are very high. Mahle explains how the resulting increased …

AVL introduced a fully integrated electric axle for urban delivery trucks, which helps to keep the overall installation volume and the total weight of the e-drive low and to reach good efficiency and power density. Nevertheless, the e-axle changes …

This paper focuses on a novel hardware-in-the-loop (HIL) system designed for developing the automatic operation of the axle lifting and dropping system for heavy trucks for compliance with the European Union Mass and Dimensions Policy and for …

In heavy duty trucks operation, important components need to be examined regularly so that any unexpected breakdowns can be prevented. Data-driven failure prediction models can be built using operational data from a large fleet of trucks. Machine …