AI Article Synopsis
- - The study investigates injuries and fatalities linked to electric vehicle (EV) collisions in the US, using data from 2014 to 2020, and finds that while the fatality rate per capita remained stable, overall EV fatalities increased significantly during this period.
- - Most EV fatalities occurred on local roads, with notable factors including speeding (46%), fire (14%), and intoxication (38%), and specific models like Tesla Model S, Kia Niro, and Hyundai IONIQ had higher fatality rates per capita.
- - Comparisons show that the Hyundai IONIQ had a significantly lower fatality per capita than its gasoline counterpart, the Hyundai Elantra, suggesting differences in safety outcomes between EVs and traditional vehicles.
Article Abstract
Introduction: Despite the increase in electric vehicle sales in the US, their impact on injuries and fatalities is still understudied. We aim to evaluate injuries and fatalities associated with electric vehicle collisions in the US.
Methods: The study utilized electric vehicle injury and fatality data from the Fatality Analysis Reporting System (FARS). All electric vehicle models available within the FARS database and sold in the US from 2014 to 2020 were selected. Electric vehicle models were matched to analogous motor vehicles when possible.
Results: No significant increase in electric vehicle fatality per capita (FPC) was found during the study period (2014: .41 vs 2020: 1.42, per 100 000 electric cars, = .080). However, 82% of all fatalities occurred on non-intersectional local roadways with 46% occurring in the presence of speeding, 14% in the presence of fire, and 38% involving a driver with an elevated blood alcohol content (BAC). The Tesla Model S, Kia Niro, and Hyundai IONIQ accounted for the most fatality per capita (17.89 vs 10.27 vs 8.42, per 100 000 electric cars). Upon comparison of electric vehicles to analogous motor vehicles produced within the same year, the Hyundai IONIQ had a significantly lower FPC compared to the Hyundai Elantra (7.33 vs 23.51, per 100 000 electric cars = .034).
Conclusion: While no significant increase in electric vehicle fatality per capita (FPC) was found, the total number of electric vehicle fatalities did increase significantly during the study period (2014-2020). Furthermore, a significant proportion of these fatalities is directly related to speeding, fire, and intoxicated driving.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/00031348221138089 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Enhancing electric vehicle battery lifespan: integrating active balancing and machine learning for precise RUL estimation.
Sci Rep
January 2025
Electronics and Communication Engineering Dept. Faculty of Engineering, Horus University, New Damietta, Egypt.
Electric vehicles (EVs) rely heavily on lithium-ion battery packs as essential energy storage components. However, inconsistencies in cell characteristics and operating conditions can lead to imbalanced state of charge (SOC) levels, resulting in reduced capacity and accelerated degradation. This study presents an active cell balancing method optimized for both charging and discharging scenarios, aiming to equalize SOC across cells and improve overall pack performance.
View Article and Find Full Text PDFSubsidy implementation patterns and electric vehicle adoption.
J Environ Manage
January 2025
Business School, University of Edinburgh, 29 Buccleuch Place, EH8 9JS, Edinburgh, UK. Electronic address:
Many local governments provide subsidies to promote electric vehicles (EVs). These subsidies are characterised by different implementation patterns: they are provided by different levels of government, sometimes jointly financed, or retroactively implemented. However, the potential impacts of different subsidy implementation patterns on EV adoption remain unclear.
View Article and Find Full Text PDFReinforcement learning algorithm for improving speed response of a five-phase permanent magnet synchronous motor based model predictive control.
PLoS One
January 2025
Department of Electrical Power and Machines Engineering, Higher Institute of Engineering (HIE), El-Shorouk Academy, El-Shorouk City, Egypt.
Enhancing the performance of 5ph-IPMSM control plays a crucial role in advancing various innovative applications such as electric vehicles. This paper proposes a new reinforcement learning (RL) control algorithm based twin-delayed deep deterministic policy gradient (TD3) algorithm to tune two cascaded PI controllers in a five-phase interior permanent magnet synchronous motor (5ph-IPMSM) drive system based model predictive control (MPC). The main purpose of the control methodology is to optimize the 5ph-IPMSM speed response either in constant torque region or constant power region.
View Article and Find Full Text PDFToward Fast-Charging and Dendritic-Free Li Growth on Natural Graphite Through Intercalation/Conversion on MoS Nanosheets.
Adv Mater
January 2025
Institute for Superconducting & Electronic Materials (ISEM), Faculty of Engineering and Information Sciences, University of Wollongong, Innovation Campus, Squires Way, North Wollongong, NSW, 2500, Australia.
Article Synopsis
- During fast-charging, uneven lithium plating on graphite anodes leads to performance issues and safety risks for lithium-ion batteries due to the formation of a passivation layer known as the solid-electrolyte interphase (SEI).
- A molybdenum disulfide (MoS) coating on natural graphite modifies the SEI properties, resulting in faster charging times and improved long-term cycling performance by enhancing lithium transport and reducing interfacial resistance.
- The MoS-NG anode demonstrates superior fast-charging capabilities, achieving a charging time of 14.7 minutes at 80% state of charge, making it a viable option for electric vehicle applications over 300 cycles without sacrificing energy density.
Electro-chemo-mechanics of anode-free solid-state batteries.
Nat Mater
January 2025
School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Anode-free solid-state batteries contain no active material at the negative electrode in the as-manufactured state, yielding high energy densities for use in long-range electric vehicles. The mechanisms governing charge-discharge cycling of anode-free batteries are largely controlled by electro-chemo-mechanical phenomena at solid-solid interfaces, and there are important mechanistic differences when compared with conventional lithium-excess batteries. This Perspective provides an overview of the factors governing lithium nucleation, growth, stripping and cycling in anode-free solid-state batteries, including mechanical deformation of lithium, the chemical and mechanical properties of the current collector, microstructural effects, and stripping dynamics.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!