Multi-objective crashworthiness optimization of vehicle body with negative Poisson’s ratio structure based on factorial analysis

Zou, Songchun; Dai, Shijuan; Zhao, Wanzhong; Wang, Chunyan; Zhang, Han

doi:10.1177/0954407020932692

Cited by 9 publications

(7 citation statements)

References 41 publications

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“…When referring to the lateral "Stability indexes", for instance, yaw rate and sideslip angle, we can find the same trends with the aforementioned safety indexes as demonstrated in Figures 9,10,17,and 18. The RMSEs for yaw rate and sideslip angle improve about 67.6%, 29.5%, and 90.4%, 26.7% with respect to pure braking and static allocation in highway impact as shown in Table 4.…”

Section: Control Performance Verificationsupporting

confidence: 63%

“…Furthermore, the analysis of the accidents data shows the side impacts in MEA are more harmful to drivers and passengers [9]. Major reasons for this phenomenon are that the side parts of the vehicle are poorly designed with energy absorption components with respect to engine compartment or trunk [10][11][12]. What's more, the back mirrors and looking ahead are insufficient to provide all the information about adjacent paths [13].…”

Section: Introductionmentioning

confidence: 99%

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Advanced post‐impact safety and stability control for electric vehicles

Ao¹,

Zhang

et al. 2022

IET Intelligent Trans Sys

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In terms of the possible secondary or multiple events accidents (MEA) after an initial vehicle to vehicle (V2V) impact, this research proposes an active safety & stability controller for independent-driven electric vehicles towards recovering the vehicle to safety states after an impact. The controller aims to regulate the course angle and lateral deviation that enforce the vehicle back to its original driving path. The upper-level controller is derived based on sliding mode technique. And the low-level controller aims to solve a convex quadratic allocation problem, which inherently incorporates fault-tolerance property. The independent in-wheel-motor (IWM) fault is very likely to happen under a real V2V impact and it contributes much to the driving safety & stability. Two typical real-endcollision scenarios under low-and high longitudinal velocities are designed to verify the proposed controller performance. The low-and high velocities collisions aim to simulate the urban and highway accidents, respectively. Compared to other control methods, i.e. pure braking and static allocation, the RMSEs of safety (lateral deviation, course angle) and stability indexes (yaw rate, sideslip angle) under proposed controller reduce significantly both in urban and highway accidents. Moreover, the controller performs robust enough against the impact-induced IWM fault. It further supports the effectiveness at dealing with the safety and stability of the ego vehicle after an initial impact and prevent possible MEA.

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Section: Control Performance Verificationsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Advanced post‐impact safety and stability control for electric vehicles

Ao¹,

Zhang

et al. 2022

IET Intelligent Trans Sys

View full text Add to dashboard Cite

show abstract

“…Meanwhile, NSGA-II introduces a new strategy, thus improving the overall operation speed and robustness as well as expanding the sampling space. [25][26][27] Moreover, it uses two operators: crowding comparison and crowding degree to replace the original shared radius, which can be used as a standard to compare the sorted peers, therefore the individuals can distribute averagely in the population, and maintain its diversity. The mechanism of crossover as well as abrupt mutation is usually described by SBX (Simulated Binary crossover) method in NSGA-II, and its formula is as follows:…”

Section: Conduction Of Optimization Modelmentioning

confidence: 99%

Optimal design of a novel crash box with functional gradient negative Poisson’s ratio structure

Guan

Yan

Wang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Crashworthiness and anti-vibration performance play critical roles in the performance of passenger cars. Aiming at enhancing the crash resistance and vibration resistance of vehicles thus providing good protection for passengers and drivers, a novel crash box with three-dimensional double arrow type negative Poisson’s ratio structure with functional gradient filling inner core (FGNPR crash box) is introduced in this paper and its performance is studied in detail through the comparison with the conventional crash box and the crash box filled with the uniform gradient negative Poisson’s ratio structure (NPR crash box) in crashworthiness and vibration resistance. Furthermore, range analysis is used to screen out the design variables that have little influence on the evaluation indexes and eliminate them. Based on these, neighborhood cultivation genetic algorithm (NCGA) and non-dominated sorting genetic algorithm-ii (NSGA-II) are selected as the optimization algorithms to carry out optimization design respectively and a comparison is made between the two suboptimal results screened out based on the normal boundary intersection (NBI) method to determine the overall optimal solution. Results show that the optimized FGNPR crash box has better crashworthiness and vibration resistance over the other crash boxes and its performance is further verified based on the peak acceleration of B-pillar in full vehicle crash condition. This paper provides some theoretical reference support for the development and exploration of automobile crash box systems.

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“…The results show that the negative Poisson's ratio B‐pillar has better crashworthiness, providing a theoretical basis for optimizing the car's side crashworthiness. Wu et al 21 used a combination of reliability optimization design methods, finite element analysis, and other methods to optimize the side structure of the car to improve its crashworthiness. Optimization analysis results show that this method can improve the safety of car collisions.…”

Section: Introductionmentioning

confidence: 99%

Research on the lightweight design and multilevel optimization method of B‐pillar of hybrid material based on side‐impact safety and multicriteria decision‐making

Zhang,

Lu,

Huang

et al. 2023

Polymer Composites

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This paper designs and optimizes a new structure hybrid material B‐pillar assembly. Establish a finite element analysis model for the side impact test of an electric vehicle to verify the model's accuracy. Construct a finite element model of the hybrid material B‐pillar assembly. Combined with the static performance analysis of the B‐pillar, the laminate design of the carbon fiber composite B‐pillar reinforcement plate and optimization. For the outer and inner panels of the B‐pillar, the surrogate model method and the multiobjective optimization method are combined to set 11 design variables and 13 responses. The optimal Latin hypercube design method was used to randomly sample each design variable and fit the radial basis function (RBF) approximate model. The modified second‐generation non‐dominated sorting genetic algorithm (MNSGA‐II) was used to carry out multiobjective optimization of the mixed material B‐pillar assembly, and the multicriteria decision‐making method was used to obtain the optimal solution for the Pareto solution set. A drop weight impact test was performed on the hybrid material B‐pillar assembly. The results showed that the peak collision force of the hybrid material B‐pillar was reduced by 43.7% compared with the original steel B‐pillar, the specific energy absorption was increased by 17.5%, and the side impact safety performance was better. After optimization, the weight of the mixed material B‐column was reduced by 26.44%. The improvement rates of the intrusion amount at P2 and the intrusion speed at P1 were 23.99% and 0.63%, respectively, and the lightweight effect and side impact safety were significantly improved.Highlights The finite element analysis parameters of carbon fiber composite materials were constructed through experiments, and the basis for simulation analysis under various working conditions of the B‐pillar based on performance‐driven optimization was established. A hybrid material B‐pillar design method is proposed, which consists of a variable‐thickness high‐strength steel B‐pillar outer plate, a variable‐thickness high‐strength steel B‐pillar inner plate, and a carbon fiber composite B‐pillar reinforcement plate. The super layer of the carbon fiber composite B‐pillar reinforcement plate was optimized and the laying plan of the carbon fiber composite B‐pillar reinforcement plate was determined. Performance‐driven optimization is adopted to realize the collaboration of multilevel design and optimization methods such as B‐pillar conceptual design, detailed design, and multiobjective optimization. A modified NSGA‐II algorithm was proposed and combined with the multicriteria decision‐making method and the entropy‐weighted gray relation analysis method to determine the Pareto optimal solution and the optimal design scheme for the mixed material B‐pillar.

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Multi-objective crashworthiness optimization of vehicle body with negative Poisson’s ratio structure based on factorial analysis

Cited by 9 publications

References 41 publications

Advanced post‐impact safety and stability control for electric vehicles

Advanced post‐impact safety and stability control for electric vehicles

Optimal design of a novel crash box with functional gradient negative Poisson’s ratio structure

Research on the lightweight design and multilevel optimization method of B‐pillar of hybrid material based on side‐impact safety and multicriteria decision‐making

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