Topology and modular size optimization of small electric vehicle frame based on cross-section contribution analysis

Chen, Jielin; Kwak, Yein; Xu, Ming; Kurniawan, Rendi; Li, Changping; Ko, Tae Jo

doi:10.1007/s00158-021-03075-y

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…Material innovation and manufacturing improvement can be relatively costly [8], whereas structural optimization is a cost-saving and efficient approach for optimization implementation [9,10]. Many studies on joint optimization are based on full finite element analysis (FFEA).…”

Section: Introductionmentioning

confidence: 99%

Optimizing Vehicle Joints through Adaptive Stacking Model and Discrete Marine Predator Optimization Algorithm

Zhang

et al. 2023

Preprint

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The design of vehicle body joints is a critical aspect of the conceptual design process. Joint structures significantly affect the mechanical performance of vehicle bodies. However, due to the nonlinear relationship between joints and body performance, it is challenging to develop an explicit expression for optimization. Furthermore, traditional finite element analysis is impractical due to the vast number of possible joint configurations. Therefore, we propose a surrogate model-based optimization method to address this problem. First, we propose an intelligent adaptive stacking method (IASM) to establish the surrogate model. We evaluate the performance of IASM and other competitors on 34 benchmark functions and 3 open engineering projects, and IASM demonstrates the best predictive performance overall. Next, we construct joint modules with different configurations as candidate modules, which we connect to the vehicle body using beam units to build the simplified vehicle body (JMBB). JMBB significantly reduces the computational cost of finite element simulation, generating training samples for IASM. We then propose a discrete marine predator algorithm (DAMPA) to optimize the joints based on IASM. Compared to the genetic algorithm, DAMPA identifies joint modules with better mechanical performances. To validate the effectiveness of our method, we modify the base vehicle body using the optimized joints, resulting in a 7.4 kg reduction in body mass while enhancing four other mechanical metrics.

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Section: Introductionmentioning

confidence: 99%

Optimizing Vehicle Joints through Adaptive Stacking Model and Discrete Marine Predator Optimization Algorithm

Zhang

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Now people compared with traditional fuel vehicles to the requirement of pure electric vehicles, not only to meet the requirement of safety and handling stability, and also for the car comfort, lightweight, pollution index put forward higher request, in the past to the traditional design method of fuel car already cannot satisfy the requirement of the pure electric vehicles now use [1][2]. At present, the frame of electric vehicles only uses the old models and only changes the power system.…”

Section: Introductionmentioning

confidence: 99%

New Energy Vehicle Development Strategy Integrated with Finite Volume Method

2020

KME

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As one of the important parts of the automobile, the frame bears the mass load of the cab, powertrain and all other parts, and bears the vibration, impact and distortion from the road under different working conditions. If it can meet the performance requirements of the frame, improve the utilization rate of materials and realize the lightweight of the frame, it will be very valuable for engineering use. This paper mainly studies the development strategy design of new energy vehicles integrated with finite volume method. Firstly, this paper analyzes the principle and application of finite volume method, establishes the finite element model of local topology optimization of electric vehicle frame in Hypermesh, and uses genetic algorithm to complete the multi-condition topology optimization of electric vehicle frame in Hypermesh. A three-dimensional model of small electric vehicle frame based on topology optimization results was constructed.

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Static and dynamic stiffness optimization on the body structure of an electric quadricycle

Ahmadi,

Khalkhali,

Mohammadi

et al. 2024

Mechanics Based Design of Structures and Machines

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Topology and modular size optimization of small electric vehicle frame based on cross-section contribution analysis

Cited by 5 publications

References 29 publications

Optimizing Vehicle Joints through Adaptive Stacking Model and Discrete Marine Predator Optimization Algorithm

Optimizing Vehicle Joints through Adaptive Stacking Model and Discrete Marine Predator Optimization Algorithm

New Energy Vehicle Development Strategy Integrated with Finite Volume Method

Static and dynamic stiffness optimization on the body structure of an electric quadricycle

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