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Journal ArticleDOI

Predictive modeling of energy consumption and greenhouse gas emissions from autonomous electric vehicle operations

TLDR
In this article, the authors proposed a multiphysics energy model to quantify the energy consumption and greenhouse gas emissions from an autonomous electric vehicle based on vehicle dynamics and the vehicle system energy demand.
About
This article is published in Applied Energy.The article was published on 2019-11-15. It has received 40 citations till now. The article focuses on the topics: Electric vehicle & Energy consumption.

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Citations
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Journal ArticleDOI

An adaptive fusion estimation algorithm for state of charge of lithium-ion batteries considering wide operating temperature and degradation

TL;DR: An adaptive fusion algorithm is proposed to robustly estimate the state of charge of lithium-ion batteries, manifesting its effectiveness and stability when subject to internal capacity degradation of battery and operating temperature variation.
Journal ArticleDOI

On the movement simulations of electric vehicles: A behavioral model-based approach

TL;DR: A micro-traffic flow model for EVs by considering their unique acceleration/deceleration characteristics is proposed to represent and simulate the movements of EVs in traffic flow, especially in congested traffic and shows that the proposed EV behavior model outperforms traditional behavior models for both timid and aggressive drivers.
Journal ArticleDOI

An adaptive multi-state estimation algorithm for lithium-ion batteries incorporating temperature compensation

TL;DR: The substantial experimental validations highlight that the proposed algorithm furnishes preferable estimation precision with certain robustness, compared with the traditional extendedKalman filter and the adaptive extended Kalman filter when employed in a product battery management system.
Journal ArticleDOI

Vehicle Connectivity and Automation: A Sibling Relationship

TL;DR: The paper suggests that at the current time, the sibling relationship seems to be lopsided: vehicle connectivity has immense potential to enhance vehicle automation, and Automation may not significantly promote vehicle connectivity directly, at least not in the short term but possibly in the long term.
Journal ArticleDOI

Environmental impacts of autonomous vehicles: A review of the scientific literature.

TL;DR: In this paper , a systematic review of the scientific literature was carried out broadening the scope to land, water, noise, and light pollution in addition to air, revealing potential benefits of AVs due to technical improvements, new possibilities in design and traffic flow enhancement, but the benefits depend on penetration levels, shared mobility acceptance and the interaction with other modes of transport.
References
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Journal ArticleDOI

Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

TL;DR: In this article, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy, which can be used to improve vehicle safety, congestion, and travel behavior.

Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations

TL;DR: In this paper, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy for personal travel in the United States, which is based on the work of the authors of this paper.
Journal ArticleDOI

Comparative Environmental Life Cycle Assessment of Conventional and Electric Vehicles

TL;DR: In this paper, the authors developed and provided a transparent life cycle inventory of conventional and electric vehicles and applied their inventory to assess conventional and EVs over a range of impact categories, including human toxicity, freshwater eco-toxicity, freshwater eutrophication, and metal depletion impacts, largely emanating from the vehicle supply chain.
Book

Autonomous Vehicle Technology: A Guide for Policymakers

TL;DR: In this paper, the potential advantages of autonomous vehicles, including safety, mobility and fuel consumption, and disadvantages, including travel demand, are discussed, and guidance for policymakers and risks to be considered as policies are formulated.
Journal ArticleDOI

Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles

TL;DR: In this article, the authors identify specific mechanisms through which automation may affect travel and energy demand and resulting GHG emissions and bring them together using a coherent energy decomposition framework, and explore the net effects of automation on emissions through several illustrative scenarios.
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How to calculate greenhouse gas emissions from vehicles?

The study provides a physical approach for quantifying the energy consumption and greenhouse gas emissions from an autonomous electric vehicle, and can support the sustainable development and deployment of autonomous electric vehicle technologies in future.