Review on Construction Procedures of Driving Cycles

Czégé, Levente; Vámosi, Attila; Kocsis, Imre

doi:10.21791/ijems.2020.2.31.

Cited by 3 publications

(1 citation statement)

References 60 publications

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“…In addition to the USLHC8 drive cycle, the drive cycle development methodology itself is discussed in the following. The unique microtrip random generation and evaluation method presented had several distinct advantages over other drive cycle generation methods commonly used in the literature such as k-means microtrip clustering (79) or Markov chains (80,81). Most importantly, it allowed for the drive cycle to be modeled after a specific target vector and not solely to match the average of the base data.…”

Section: Drive Cycle Developmentmentioning

confidence: 99%

Realistic U.S. Long-Haul Drive Cycle for Vehicle Simulations, Costing, and Emissions Analysis

Jones,

Köllner,

Moreno-Sader

et al. 2024

Transportation Research Record: Journal of the Transportation R

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Although heavy-duty trucks constitute the backbone of freight transportation in the United States, they also contribute significantly to greenhouse gas emissions. Various alternative powertrains to reduce emissions have been assessed, but few specific to U.S. long-haul applications with a consistent basis of assumptions. To enable a more accurate assessment for all stakeholders, a representative drive cycle for long-haul truck operations in the United States is introduced (USLHC8) for modeling and simulation purposes. This was generated from 58,000 mi of real driving data through a unique random microtrip selection algorithm. USLHC8 covers a total driving time of 10 h 47 min, an average vehicle speed of 55.58 mph, and road grade ranging from −6% to +6%. To establish a benchmark for further powertrain comparisons, a vehicle-level simulation of a conventional diesel powertrain was paired with USLHC8. Benchmarks are presented for fuel consumption, well-to-wheel emissions, and total cost to society under different scenarios (present-day, mid-term, and long-term).

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Section: Drive Cycle Developmentmentioning

confidence: 99%

Realistic U.S. Long-Haul Drive Cycle for Vehicle Simulations, Costing, and Emissions Analysis

Jones,

Köllner,

Moreno-Sader

et al. 2024

Transportation Research Record: Journal of the Transportation R

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Method for applying vehicle driving cycles to assess the durability of electromechanical transmissions of trucks

et al. 2023

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The article discusses the relevance of the problem of calculating the elements of electromechanical transmissions of trucks for strength and durability. The main methods used for the formation of load conditions on electromechanical transmissions of trucks are given. The driving cycles of trucks used to obtain loads when calculating the durability of the elements of electromechanical transmissions are given. The universal driving cycles of vehicles obtained on the basis of the collection of statistical data on the movement of trucks are considered. A simulation model of the movement of a truck used to determine the loads on the electromechanical transmission while overcoming driving cycles of trucks is presented. The durability of the gears of the electromechanical transmission of a truck is analyzed on the basis of load cyclograms obtained during simulation modeling of movement. Numerical results of the safety factors of one of the gear stages are obtained. Conclusions are drawn about the optimality of the use of existing driving cycles of trucks in strength calculations. Conclusions are worded about the need to synthesize driving cycles of trucks based on the collection of statistical data on the movement of truck vehicles on the territory of the region under consideration.

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Fuel Economy Estimates of Drive Cycles Developed in the Philippines

Corpus,

Lomotan,

Vasquez

et al. 2023

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">With greenhouse gas emissions (GHG) being identified as a major cause, climate change is considered as a major environmental concern in recent decades. Globally, policymakers have been trying to reduce GHG emissions through a variety of policies and strategies Given that the Philippine ratio of greenhouse gas (GHG) to gross domestic product (GDP) is above the global average, GHG production is predicted to escalate if it remains unaddressed This study presents various methods for fuel estimates of drive cycles developed in the Philippines. In estimating emission inventories, driving cycles can be considered as one of the significant travel-based models. The findings suggest that the pros and cons of using different methods of fuel economy in driving cycles must be taken into consideration. The study introduces energy road load methods to analyze drive cycles for different vehicle types, including air-conditioned and non-air-conditioned ones. It compares cycles from various routes using energy road load and driving behavior to assess fuel consumption, considering laboratory testing for future research. The findings also suggest that such method Micro-trip provides a good contemplation of fuel estimates and vehicular emissions, evaluates each stop-go condition that happens due to road network conditions, and uses a cycle based on actual driving data [<span class="xref">1</span>]. However, the starting point and end point of micro-trips cannot be determined due to specific speed, acceleration, and duration variations, especially considering different levels of service (LOS). The nature of being stochastic and repetitive makes it challenging to produce these micro-trip differences.</div></div>

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Review on Construction Procedures of Driving Cycles

Cited by 3 publications

References 60 publications

Realistic U.S. Long-Haul Drive Cycle for Vehicle Simulations, Costing, and Emissions Analysis

Realistic U.S. Long-Haul Drive Cycle for Vehicle Simulations, Costing, and Emissions Analysis

Method for applying vehicle driving cycles to assess the durability of electromechanical transmissions of trucks

Fuel Economy Estimates of Drive Cycles Developed in the Philippines

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