2020
DOI: 10.3390/s20133633
|View full text |Cite
|
Sign up to set email alerts
|

Multi-Objective Evolutionary Design of an Electric Vehicle Chassis

Abstract: An iterative algorithm is proposed for determining the optimal chassis design of an electric vehicle, given a path and a reference time. The proposed algorithm balances the capacity of the battery pack and the dynamic properties of the chassis, seeking to optimize the tradeoff between the mass of the vehicle, its energy consumption, and the travel time. The design variables of the chassis include geometrical and inertial values, as well as the characteristics of the powertrain. The optimization is constrained … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 14 publications
(12 citation statements)
references
References 31 publications
0
12
0
Order By: Relevance
“…This is because the T6-treated alloys undergo artificial aging, a treatment that requires a higher energy expenditure. In this heat treatment, the alloys are solubilized and subsequently heated between 100 °C and 200 °C so that the atoms diffuse and precipitation of hardening phases could happen, optimizing the mechanical properties 7,9 . Therefore, this need for a prolonged heating of the parts may generate a higher energy spending than that associated with the production of alloys in T4 condition, which underwent only solubilization treatment, while the aging is carried out at room temperature (naturally).…”
Section: Environmental Impactmentioning
confidence: 99%
See 1 more Smart Citation
“…This is because the T6-treated alloys undergo artificial aging, a treatment that requires a higher energy expenditure. In this heat treatment, the alloys are solubilized and subsequently heated between 100 °C and 200 °C so that the atoms diffuse and precipitation of hardening phases could happen, optimizing the mechanical properties 7,9 . Therefore, this need for a prolonged heating of the parts may generate a higher energy spending than that associated with the production of alloys in T4 condition, which underwent only solubilization treatment, while the aging is carried out at room temperature (naturally).…”
Section: Environmental Impactmentioning
confidence: 99%
“…Studies have been conducted with the aim of improving the autonomy of electric vehicles in order to make them competitive with vehicles powered through internal combustion. As a result, the efficiency of the electric motors, battery, transmission, the weight of each component, and even intelligent acceleration control profiles are being developed to obtain the best balance between autonomy and performance 3,6,7 .…”
Section: Introductionmentioning
confidence: 99%
“…The first step was to calculate the instantaneous power required to achieve the kinematic response for the vehicle being measured [38]. It is known that at each step during the test the tractive force shall be such that it counteracts total driving resistance and causes the vehicle to accelerate as required.…”
Section: Energy Consumption and Emission Modellingmentioning
confidence: 99%
“…In the 2020 study of Sánchez and his colleagues, an iteration algorithm was proposed, during which a path and reference period were given to determine the chassis that best suited to electric vehicles. Thanks to the proposed methodology, battery weight was reduced by about 20% compared to normal designs [27]. In the 2020 study conducted by Nandhakumar and his friends, an electric motor-powered bus chassis design was made.…”
Section: Fig 2 Number Of Hybrid and Electric Vehicles Used In Europementioning
confidence: 99%