Use of extrusion technology in the development of high-voltage batteries of electric vehicles

Ivan P. Degtyarev , Rinat Kh. Kurmaev

Izvestiya MGTU MAMI ›› 2024, Vol. 18 ›› Issue (2) : 149 -155.

PDF
Izvestiya MGTU MAMI ›› 2024, Vol. 18 ›› Issue (2) : 149 -155. DOI: 10.17816/2074-0530-627233
Electrotechnical facilities and systems
research-article

Use of extrusion technology in the development of high-voltage batteries of electric vehicles

Author information +
History +
PDF

Abstract

BACKGROUND: The automotive industry evolves constantly. Every day, engineers work to improve the vehicles’ design. In the modern world, it is necessary to take into account a huge number of aspects when creating various means of transport, including electric ones. Great attention is paid to the problem of reducing the mass of electric vehicles and electric motorcycles.

AIM: The introduction of extrusion technology in manufacturing of traction battery frames to reduce the mass-dimensional characteristics of the category L electric vehicles.

METHODS: The use of aluminum alloys in manufacturing of power structures of traction batteries through the extrusion technology.

RESULTS: Using the results of the load simulation in the ANSYS software, the further practical approval of using this technology for the category L electric vehicle is planned.

CONCLUSION: In addition to solving the problems associated with the mass–dimensional indicators, this technology is able to help to solve the economic problem and to approach to save technological time and money spent on the production of traction battery parts with a similar technological process (milling).

Keywords

extrusion / aluminum / electric motorcycle / traction battery / mass / voltage / force / matrix / temperature

Cite this article

Download citation ▾
Ivan P. Degtyarev, Rinat Kh. Kurmaev. Use of extrusion technology in the development of high-voltage batteries of electric vehicles. Izvestiya MGTU MAMI, 2024, 18(2): 149-155 DOI:10.17816/2074-0530-627233

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

Eco-Vector

AI Summary AI Mindmap
PDF

118

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/