Real-world exhaust temperature and engine load distributions of on-road heavy-duty diesel vehicles in various vocations

Real-world vehicle and engine activity data were collected from 90 heavy-duty vehicles in California, United States, most of which have engine model year 2010 or newer and are equipped with selective catalytic reduction (SCR). The 90 vehicles represent 19 different groups defined by a combination of vocational use and geographic region. The data were collected using advanced data loggers that recorded vehicle speed, position (latitude and longitude), and more than 170 engine and aftertreatment parameters (including engine load and exhaust temperature) at the frequency of one Hz. This article presents plots of real-world exhaust temperature and engine load distributions for the 19 vehicle groups. In each plot, both frequency distribution and cumulative frequency distribution are shown. These distributions are generated using the aggregated data from all vehicle samples in each group.


a b s t r a c t
Real-world vehicle and engine activity data were collected from 90 heavy-duty vehicles in California, United States, most of which have engine model year 2010 or newer and are equipped with selective catalytic reduction (SCR). The 90 vehicles represent 19 different groups defined by a combination of vocational use and geographic region. The data were collected using advanced data loggers that recorded vehicle speed, position (latitude and longitude), and more than 170 engine and aftertreatment parameters (including engine load and exhaust temperature) at the frequency of one Hz. This article presents plots of real-world exhaust temperature and engine load distributions for the 19 vehicle groups. In

Experimental features
The data collection effort spanned from November 2014 to September 2016, but was intermittent depending on when the vehicles and data loggers were available. For each vehicle, the data were collected for a minimum period of one month. The collected data include vehicle speed, position (latitude and longitude), and more than 170 engine and aftertreatment parameters at the frequency of one Hz.

Data source location
All the vehicles are domiciled and operated mostly in California, United States.

Data accessibility
The data are provided in this article.

Value of the data
The data allows for a comparison of real-world exhaust temperature and engine load distributions by vocation.
The data can be compared with other data from different locations and new data collected in future works.
The exhaust temperature distributions can be used to analyze the potential NOx conversion efficiency of different types of SCR, as done in Ref. [1].
The data can be used to support the design of exhaust aftertreatment systems for heavy-duty diesel vehicles in specific vocations.

Data
The data includes plots of real-world exhaust temperature and engine load distributions for the 19 different groups of on-road heavy-duty vehicles in California as defined by a combination of vocational use and geographic region (Figs. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. In each plot, both frequency distribution and cumulative frequency distribution are shown. These distributions are generated using the aggregated data from all vehicle samples in each group. Note that the exhaust temperature here is referred to the exhaust gas temperature at the inlet of SCR.

Experimental design, materials, and methods
The research team targeted data from 100 vehicles that are domiciled in the state of California, and designed a vehicle sample matrix that balanced between the number of vocations and the number of vehicles in each vocation. The targeted vehicles are from commonly found vocations that, collectively, represent the majority of the NO x emission inventory of heavy-duty diesel vehicles in California [2]. Due to various reasons, such as not being able to recruit vehicles (or a specific number of vehicles) in some groups, lost data loggers, etc., the final dataset includes 90 vehicle samples in 19 groups defined by a combination of vocational use and geographic region as listed in Table 1.
All of the 90 vehicles are either commercial class 7 (GVWR 26,001-33,000 lbs) or class 8 (GVWR 433,000 lbs). All the vehicles run on conventional diesel engines except the six urban buses (diesel hybrid electric) and the five express buses (compressed natural gas). Most of the vehicles have engine The data were collected using J1939 Mini Logger TM , produced by HEM Data, that recorded vehicle speed, position (latitude and longitude), and more than 170 engine and aftertreatment parameters (including engine load and exhaust temperature) at the frequency of one Hz. The data collection effort spanned from November 2014 to September 2016, but was intermittent depending on when the participating fleets were successfully recruited and when the vehicles and data loggers were available. For each vehicle, the data were collected for a minimum period of one month with many vehicles having data collected for several months.                    6  24  Cummins  ISL  2010  380  25  Cummins  ISL  2010  345  26 Unknown n/a n/a n/a 102 Cummins ISL n/a n/a 103 Cummins  ISL  2010  380  104  Cummins  ISL9  2013  345