Energy Management in Fuel-Cell\/Battery Vehicles: Key Issues Identified in the IEEE Vehicular Technology Society Motor Vehicle Challenge 2017

Dynamic programming algorithms are widely used in motor vehicle fuel cells, and can help battery energy management control to perform error analysis. The paper designs the decision-making process of fuel cell charge and discharge management based on the state transition energy management algorithm, which is used to analyse the cumulative causes of errors and the corresponding results. The article uses simulation software to simulate the algorithm proposed in this paper, and finds that the algorithm is an energy management optimization decision, and the error of the hydrogen consumption obtained by the algorithm relative to the theoretical optimal hydrogen consumption is less than 0.25%.

Download Full-text

Energy Management of Heavy-Duty Fuel Cell Electric Vehicles: Model Predictive Control for Fuel Consumption and Lifetime Optimization

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.1053 ◽

2020 ◽

Vol 53 (2) ◽

pp. 14205-14210 ◽

Cited By ~ 1

Author(s):

Alessandro Ferrara ◽

Michael Okoli ◽

Stefan Jakubek ◽

Christoph Hametner

Keyword(s):

Fuel Cell ◽

Model Predictive Control ◽

Fuel Consumption ◽

Energy Management ◽

Predictive Control ◽

Electric Vehicles ◽

Heavy Duty ◽

Fuel Cell Electric Vehicles ◽

Lifetime Optimization

Download Full-text

Exploratory Analysis of Pedestrian Road Trauma in Finland

Sustainability ◽

10.3390/su13126715 ◽

2021 ◽

Vol 13 (12) ◽

pp. 6715

Author(s):

Steve O’Hern ◽

Roni Utriainen ◽

Hanne Tiikkaja ◽

Markus Pöllänen ◽

Niina Sihvola

Keyword(s):

Cluster Analysis ◽

Motor Vehicle ◽

Seasonal Effects ◽

Unique Element ◽

Driver Behaviour ◽

Crash Data ◽

Safety Issues ◽

Key Issues ◽

Development Goals ◽

Pedestrian Crashes

In Finland, all fatal on-road and off-road motor vehicle crashes are subject to an in-depth investigation coordinated by the Finnish Crash Data Institute (OTI). This study presents an exploratory and two-step cluster analysis of fatal pedestrian crashes between 2010 and 2019 that were subject to in-depth investigations. In total, 281 investigations occurred across Finland between 2010 and 2019. The highest number of cases were recorded in the Uusimaa region, including Helsinki, representing 26.4% of cases. Females (48.0%) were involved in fewer cases than males; however, older females represented the most commonly injured demographic. A unique element to the patterns of injury in this study is the seasonal effects, with the highest proportion of crashes investigated in winter and autumn. Cluster analysis identified four unique clusters. Clusters were characterised by crashes involving older pedestrians crossing in low-speed environments, crashes in higher speed environments away from pedestrian crossings, crashes on private roads or in parking facilities, and crashes involving intoxicated pedestrians. The most common recommendations from the investigation teams to improve safety were signalisation and infrastructure upgrades of pedestrian crossings, improvements to street lighting, advanced driver assistance (ADAS) technologies, and increased emphasis on driver behaviour and training. The findings highlight road safety issues that need to be addressed to reduce pedestrian trauma in Finland, including provision of safer crossing facilities for elderly pedestrians, improvements to parking and shared facilities, and addressing issues of intoxicated pedestrians. Efforts to remedy these key issues will further Finland’s progression towards meeting Vision Zero targets while creating a safer and sustainable urban environment in line with the United Nations sustainable development goals.

Download Full-text