kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Industry Insights Into Kinematics and Injury Risk for Far-Side Occupants During Electric Vehicle Side Pole Impact Accidents
Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410114, Peoples R China; Changsha Univ Sci & Technol, Hunan Prov Key Lab Safety Design & Reliabil Techno, Changsha 410114, Peoples R China.ORCID iD: 0000-0002-7409-0841
Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410114, Peoples R China; Changsha Univ Sci & Technol, Hunan Prov Key Lab Safety Design & Reliabil Techno, Changsha 410114, Peoples R China.
Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410114, Peoples R China; Changsha Univ Sci & Technol, Hunan Prov Key Lab Safety Design & Reliabil Techno, Changsha 410114, Peoples R China.
Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha 410114, Peoples R China; Changsha Univ Sci & Technol, Hunan Prov Key Lab Safety Design & Reliabil Techno, Changsha 410114, Peoples R China.ORCID iD: 0000-0002-2658-8629
Show others and affiliations
2025 (English)In: IEEE transactions on consumer electronics, ISSN 0098-3063, E-ISSN 1558-4127, Vol. 71, no 2, p. 2407-2420Article in journal (Refereed) Published
Abstract [en]

With the rapid growth in the number of electric vehicles equipped with advanced consumer electronics, the rate of impact accidents has also been rising year by year. Side pole impact tests are an important method for evaluating the collision safety of these modern electric vehicles. The purpose of this study is to gain industry insights into the kinematics and injury risk for far-side occupants in electric vehicle side pole impacts. This study uses a full-scale finite element model of an electric vehicle and a human body finite element model to conduct an in-depth analysis of the occupant's kinematic response and the risk of injury to the head, neck, chest, and internal organs under various conditions by changing the relative position and impact angle between the rigid pole and the vehicle. The results show that the seatbelt fails to effectively restrict the upper body movement of the occupants, leading to the occupants slipping out of the seatbelt; the position of the impact significantly affects the injury risk to the occupants, with the highest probability of injury occurring during an A pillar impact and a lowest probability during a C pillar impact. In 28%-40% of the cases, the risk of far-side occupants sustaining serious head and brain abbreviated injury scale AIS 3+ injuries exceeds 40%, and in 22% of the cases, the probability of occupants sustaining diffuse axonal injuries based on which metric is higher than 40%; there is no correlation between the head injury criterion HIC15 and the impact angle, but a weak correlation exists between HIC15 and maximum principal strain (MPS); a strong positive correlation is found between the impact angle and brain injury criterion BrIC/MPS. The predicted MPS of nearly 40% and 80% of the far-side occupants' anterior longitudinal ligament and posterior longitudinal ligament exceeds the injury threshold, respectively, while in all cases, the predicted MPS of the occupants' capsular ligament and interspinous ligament exceeds the injury threshold, which indicates an extremely high risk of ligament injury. The peak strains of the internal organs of all far-side occupants exceed the threshold, indicating that the occurrence of these internal organ injuries mainly stems from a viscous mechanism, and the peak strains have a strong positive correlation with the impact angle.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. Vol. 71, no 2, p. 2407-2420
Keywords [en]
Injuries, Electric vehicles, Biological system modeling, Kinematics, Load modeling, Accidents, Artificial intelligence, Iron, Consumer electronics, Automotive engineering, Electric vehicle, far-side occupant, injury risk, side pole impact
National Category
Vehicle and Aerospace Engineering Other Medical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-373560DOI: 10.1109/TCE.2025.3557871ISI: 001554483200027Scopus ID: 2-s2.0-105002247289OAI: oai:DiVA.org:kth-373560DiVA, id: diva2:2018390
Note

QC 20251203

Available from: 2025-12-03 Created: 2025-12-03 Last updated: 2025-12-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Zhou, Zhou

Search in DiVA

By author/editor
Wang, FangHu, LinZhou, Zhou
By organisation
Neuronic Engineering
In the same journal
IEEE transactions on consumer electronics
Vehicle and Aerospace EngineeringOther Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 18 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf