Energy demand assessment for long term operation of vehicles Wroclaw University of Sc and Technology

Format:

Book

Conference/Event

Author/Creator:

Sitnik, Lech Jerzy, author.

Conference Name:

SAE Powertrains, Fuels & Lubricants Meeting (2020-09-22 : Krakow, Poland)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2020

Summary:

The primary goal of any automotive development work is to reduce carbon dioxide (CO2) emissions and eliminate the so-called low emissions. In all this activity there is one unsolved problem, namely the assessment of the energy demand of vehicles in their long-term operation. The effect of this is that even after the introduction of the latest WLTP and RDE tests, the results of tests using them differ from what is recorded in everyday use of vehicles. However, this is not a dead end. Necessary, a new perspective on the whole issue and the implementation of new assessment concepts are needed. Such a new concept is the assessing of cumulative demand for energy necessary to overcome a vehicle on a road. It is a road in the long-term operation of the vehicle, e.g. several hundred thousand kilometers of mileage. The author's theory of cumulated energy demand is useful here. The issue of determining cumulated energy demand is presented in the article on the example of three groups of mid-range cars, id est cars with internal combustion engines (ICV), hybrid (HEV) and fully electric (BEV). For illustration, the energy requirements of these vehicles up to 350,000 km were analyzed. The data necessary for the analysis were taken from publicly available databases. This has the advantage that the results presented in the work can be easily verified. On the other hand, however, such databases can be more useful as the data contained in them can be correctly used, more widely than assumed. Those is important. The introduction of the Internet of Things (especially 5G) gives a chance to create a new type of database. Using this data, it is possible to efficiently (and objectively with theory presented in article ) evaluate e.g. new solutions - which is desirable by all means

Notes:

Vendor supplied data

Publisher Number:

2020-01-2165

Access Restriction:

Restricted for use by site license