Candidate Driving Cycle Construction for Emission Estimation

Chauhan, Boski P.; Joshi, Gaurang; Parida, Purnima

doi:10.1007/978-981-32-9042-6_8

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…This tolerance limit was noted in Huertas et al (25). For each route type, several unique candidate cycles are derived and validated using root mean square error (RMSE) to generate the most representative cycle or the performance value, similar to the approach by Purnima et al (26). The RMSE was found for each candidate cycle using the differences between each assessment criteria of the candidate cycle and the target conditions of the constraints.…”

Section: Trinidad and Tobago Driving-cycle Construction Mechanismmentioning

confidence: 99%

Representative Driving Cycles for Trinidad and Tobago with Slope Profiles for Electric Vehicles

Maharaj

King

2022

Transportation Research Record: Journal of the Transportation R

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The rise of plug-in battery electric vehicles presents an excellent opportunity for small island developing states such as those of the Caribbean. The vehicles offer improved energy efficiency, enhanced energy security, and reduced foreign exchange expenditure. Incentivizing the uptake of electric vehicles seems to be an obvious policy decision, but there could be unintended consequences. Real-world driving cycles are essential for validating electric-vehicle energy and economic benefits using simulation studies. In drive-cycle methodologies, the microtrip method is the preferred choice for countrywide representation and is ideal for fuel consumption estimations. This paper reports on the first such real-world driving cycle for the Caribbean, specifically Trinidad and Tobago, which is developed using a microtrip construction method with a novel approach to establishing a slope profile. Highway and suburban segments show some distinct characteristics, including relatively high average accelerations and decelerations in the highway and suburban cycles and low average speeds of 40.2 km/h (highway) and 21.74 km/h (suburban). The driving cycle is unique but reasonable when compared with others derived in emerging economies.

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Section: Trinidad and Tobago Driving-cycle Construction Mechanismmentioning

confidence: 99%

Representative Driving Cycles for Trinidad and Tobago with Slope Profiles for Electric Vehicles

Maharaj

King

2022

Transportation Research Record: Journal of the Transportation R

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Research on Driving Cycle Construction Based on Sorting-Time Hybrid Method

Jiang

et al. 2020

2020 Chinese Automation Congress (CAC)

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Energy consumption analysis of metropolitan logistics vehicles based on an ensemble K-means long short-term memory model

Gan,

Zhang,

Wang

2024

Energy & Environment

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In recent years, creating a green and low-carbon sustainable development has received extensive attention, prompting considerable research into reducing pollution emissions in the transportation sector. This paper analyzes the energy consumption patterns of logistics vehicles on Beijing’s Sixth Ring Road. Firstly, driving segments are categorized based on variations in vehicle speed, followed by the application of the [Formula: see text]-means algorithm for segment clustering, resulting in the identification of three distinct driving states and the construction of corresponding driving cycles. It is observed that the driving states have high correlations with different road grades. Subsequent analysis reveals that speed, torque, and engine speed are the primary factors influencing energy consumption of logistic vehicles. Furthermore, energy consumption prediction models using the long short-term memory algorithm for the identified driving states on various road types are built leveraging historical data, i.e. vehicle speed, motor torque, and engine speed. Finally, the analysis highlights a notable increase in 100 km energy consumption for logistics trucks on branch roads with complex road conditions. This study contributes to the effective management of energy consumption in medium and large trucks.

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Candidate Driving Cycle Construction for Emission Estimation

Cited by 3 publications

References 10 publications

Representative Driving Cycles for Trinidad and Tobago with Slope Profiles for Electric Vehicles

Representative Driving Cycles for Trinidad and Tobago with Slope Profiles for Electric Vehicles

Research on Driving Cycle Construction Based on Sorting-Time Hybrid Method

Energy consumption analysis of metropolitan logistics vehicles based on an ensemble K-means long short-term memory model

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