Archive

11 January 2021, Volume 40 Issue 01 Previous Issue    Next Issue
---
Transport+Big Data and Artificial Intelligence
Transportation Infrastructure Engineering
Transportation Equipment


For Selected:

Download Citations EndNote Ris BibTeX

Toggle Thumbnails

Transport+Big Data and Artificial Intelligence

Select

Aircraft Flight Trajectory Clustering Based on Trajectory Compression LI Nan, QIANG Yigeng, FAN Rui 2021, 40(01): 1-6.  DOI: 10.3969/j.issn.1674-0696.2021.01.01 Abstract ( )   PDF (1314KB) ( )   In order to accurately grasp the flight mode of aircraft in terminal area and effectively evaluate and optimize flight procedures, firstly, according to the spatio-temporal characteristics of flight trajectory points, a top-down algorithm based on time ratio was proposed to compress the flight path. Secondly, combined with the velocity and heading characteristics of the trajectory points, the trajectory similarity model based on multi-dimensional features was established. Finally, the tabu search particle swarm optimization (TSPSO) algorithm was applied to improve and optimize the fuzzy C-means clustering (FCM) algorithm, and the improved clustering algorithm was verified by combining with the real flight trajectory data of the terminal area. The results show that the trajectory compression technology greatly reduces the computational cost. Compared with the traditional FCM algorithm, the improved clustering algorithm can obtain a better satisfactory solution and improve the flight trajectory clustering effect. References | Related Articles | Metrics

Select

Traffic Flow Velocity Prediction of Urban Road Network Considering Large-Scale Vehicles YAN Jiaqing1，SHAO Peng1，ZHANG Lili2，WANG Li1 2021, 40(01): 7-11.  DOI: 10.3969/j.issn.1674-0696.2021.01.02 Abstract ( )   PDF (2739KB) ( )   Aiming at the problem that large-scale vehicles affect the velocity of traffic flow, a method to predict the traffic flow velocity of road network with the consideration of large-scale vehicles was proposed. Firstly, according to the two-fluid theory, the road section was divided into two parts: driving flow and queuing flow. Then, through the temporal and spatial analysis of road network sections, the road sections were clustered according to travel time and the prediction time index was determined. According to the relationship between the characteristics of large-scale vehicles and the velocity of traffic flow, the factors of large-scale vehicles were introduced. Finally, the traffic flow velocity was predicted by GRU (gated recurrent unit) neural network and verified by VISSIM simulation. The results show that: the prediction accuracy of traffic flow velocity in urban road network can be improved by considering the large-scale vehicles. References | Related Articles | Metrics

Select

Optimization Model of Intersection Signal Timing Based on Ring-Barrier Phase LIN Li, JIANG Shuaijie 2021, 40(01): 12-16.  DOI: 10.3969/j.issn.1674-0696.2021.01.03 Abstract ( )   PDF (530KB) ( )   In order to maximize the use of spatial and temporal resources of intersections, a signal timing optimization model of urban intersections based on Ring-Barrier phase operation rules was established. In the proposed model, the minimum delay of intersection was transformed into a nonlinear programming problem. By selecting the average delay of intersection as the optimization objective, the cycle time length of intersection signal control and the green light time of each phase as variables, the branch-and-bound algorithm was selected as the solution algorithm of this nonlinear programming problem. Taking one intersection in Nanjing as an example, the relevant software tools were used to solve the proposed model and verify the effect of signal timing optimization. The results show that: after the implementation of the optimization model, the overall delay of the intersection decreases with the number of iterations and gradually converges. Compared with Webster timing model, the 39th iteration optimization result makes the average delay of the intersection reduced by 29.1%, which effectively improves the overall operation efficiency of the intersection. References | Related Articles | Metrics

Select

Video-Based Influencing Factors Model of Overtaking Behavior on Urban Roads QIN Yaqin1, ZHENG Haoran1, 2, LI Jianshi1 2021, 40(01): 17-22.  DOI: 10.3969/j.issn.1674-0696.2021.01.04 Abstract ( )   PDF (1256KB) ( )   Taking the rate of overtaking vehicle times as the macro quantitative index of urban road overtaking behavior, and combining with MYSQL and VBA, the extraction of massive video overtaking data was completed. Then the stepwise regression models of influencing factors of overtaking rate on weekdays, nonworking days and in peak periods of weekdays were constructed respectively. The research results show that the travel time and speed have significant influence on overtaking behavior, but the number of vehicles in peak periods has no obvious influence on overtaking behavior. In addition, the influence of travel time and speed on overtaking behavior is greater on weekdays, while the influence of vehicle number on overtaking behavior is more obvious on nonworking days. References | Related Articles | Metrics

Select

Bus Station and Line Optimization Based on Parking Delay Concept JIN Wenzhou, HU Weimin 2021, 40(01): 23-28.  DOI: 10.3969/j.issn.1674-0696.2021.01.05 Abstract ( )   PDF (1223KB) ( )   By introducing the concept of low-carbon transportation and combining with entropy weight method, the comprehensive evaluation model of intersection service level was established to determine the bottleneck parameters of intersection service level. Based on the proposed model, the concept of quasi-robust testing was proposed, the simulation data were fitted by VISSIM simulation software, and the quasi-robust test model was established to test the robustness of the optimization scheme. Taking an intersection in Fuzhou as an example, the service level bottleneck indicators were judged. The result shows that the bottleneck indicators are the average bus stop time and times. Based on this, the optimization scheme of bus stops and routes was proposed, and the comprehensive evaluation model of intersection service level and the quasi-robust test model were used for evaluation and analysis. The analysis results show that the line optimization effect is better than the station optimization, and the scheme of both optimizations is the best: the setting of bus stops on different sides of main and secondary trunk roads as well as the organization mode of long lead turn of direct bus on secondary trunk road has good optimization effect and robustness. References | Related Articles | Metrics

Select

Drivers Toll Lane Selection Based on Binary Logit Model YANG Shaowei1,2, LIANG Hanmian1, PAN Binghong1,2 2021, 40(01): 29-35.  DOI: 10.3969/j.issn.1674-0696.2021.01.06 Abstract ( )   PDF (571KB) ( )   By analyzing the regular characteristics of drivers behavior of toll lane selection, the complexity of drivers behavior of toll lane selection was discussed, and the utility function and probability calculation formula of the model were determined. Taking the queue length of the toll lane, the number of lanes changing, the number of large vehicles and the location of the toll lane as the characteristic variables of the model, a binary Logit model for drivers behavior of toll lane selection was established. Based on the actual observation data of the Qinzhou West toll station of Lanhai Expressway, the model parameters were estimated for each characteristic variable, and the goodness of fit of the model was analyzed by Hosmer-Lemeshow test. The research results show that the drivers behavior of toll lane selection is comprehensively affected by many factors, and the model fitting accuracy is high; the establishment of the proposed model provides technical support for traffic organization, safety evaluation and toll lane layout of toll station. References | Related Articles | Metrics

Select

Decision-Making Method for Travel Mode Selection of Residents in City Groups REN Qiliang, ZHANG Lili, WU Lingling 2021, 40(01): 36-43.  DOI: 10.3969/j.issn.1674-0696.2021.01.07 Abstract ( )   PDF (737KB) ( )   The travel between groups was divided into three stages: within the starting group, between the groups and within the destination group. The decision-making indicators were established based on the analysis of the related issues of residents’ travel between the groups. Then, according to the psychological characteristic that there was dynamic expectation in the travel mode selection of residents in groups, a travel mode decision analysis method based on cumulative prospect theory was proposed. In the proposed method, firstly, the weight was determined by analytic hierarchy process (AHP). Then, based on the establishment of reference point and decision matrix, the attribute values of different variables were normalized, and then the benefit loss decision matrix and prospect decision matrix of each mode relative to the reference point were established, and the comprehensive prospect value of each travel mode was calculated and sorted. Among them, the mode with the largest comprehensive prospect value was the most satisfactory one for the traveler. Finally, a case study was carried out. References | Related Articles | Metrics

Select

Multi-Objective Optimal Control Strategy for Plug-in Diesel Electric Hybrid Vehicles Based on Deep Reinforcement Learning WEI Hanbing, HE Shaochuan 2021, 40(01): 44-52.  DOI: 10.3969/j.issn.1674-0696.2021.01.08 Abstract ( )   PDF (6190KB) ( )   During the model switch process of plug-in hybrid electric vehicle, the fluctuation of exhaust temperature and intake flow velocity invoked by frequent engine start-stop is obviously aggravated, which causes the reduction of catalytic efficiency and increase of exhaust emission of SCR catalysts. Especially, the above result is extremely obvious during the cold start stage at low temperature. On the other hand, it is difficult to establish an accurate transient model of SCR catalyst, and the traditional model-based hybrid control strategy development method is not effective. Taking a P2 plug-in diesel electric hybrid vehicle as the research object, the longitudinal dynamic model including engine, battery and SCR aftertreatment system was established. On this basis, deep reinforcement learning was applied to the energy management of plug-in hybrid electric vehicles. DQN algorithm was used to solve the weighted objective function composed of fuel consumption and emission, and the control strategy was obtained with the state variables of required power, battery SOC and SCR temperature, and the optimal motor power as the output variable. The final experimental results were compared with that of dynamic programming (DP) algorithm. The results show that the fuel consumption is 2.623 L / 100 km, and the NOx emission at the outlet of SCR catalyst is 0.227 5 g/km, which is 10.12% and 25.69% lower than that of DP control strategy, which proves the effectiveness of the proposed control strategy. References | Related Articles | Metrics

Select

Route Planning of Replenishment Ships Based on Dynamic Demand Under Mixed Time Windows WANG Jie, FEI Peng, CHEN Kai 2021, 40(01): 53-58.  DOI: 10.3969/j.issn.1674-0696.2021.01.09 Abstract ( )   PDF (468KB) ( )   China is one of the worlds major pelagic fishery powers. The replenishment ship plays an increasingly prominent role in Chinas offshore fishing, and gradually becomes an important part of the production and supply chain of pelagic fishery. In the route planning of replenishment ship, considering the special operation environment of the replenishment ship, the penalty cost function under mixed time windows was firstly introduced to limit the replenishment time; secondly, the variation function of production and living material demand as well as catch of the ocean going fishing vessel was established, according to the characteristics of the operation of the ocean going fishing vessel; then, taking the minimum replenishment cost of the replenishment ship as the objective function, a replenishment ship route planning model based on the dynamic change of demand of ocean going fishing vessels under mixed time windows was established. In view of the complexity of the proposed model, the improved genetic algorithm was used to solve the problem, and the feasibility of the proposed model was verified by an example. References | Related Articles | Metrics

Select

Influence Mechanism of Information Risk on Operation Risk in Maritime Logistics JIA Xiaohui1, ZHANG Donghui2 2021, 40(01): 59-64.  DOI: 10.3969/j.issn.1674-0696.2021.01.10 Abstract ( )   PDF (419KB) ( )   In order to investigate the influence mechanism of information risk on operation risk in maritime logistics, the data collection relevant to risk identification and risk frequency was carried out by literature review and questionnaire survey method respectively, and the association rule method based on soft set was used to mine the association between information risk and operation risk of maritime logistics. The research results show that information timeliness risk has a very strong effect on asset damage/loss risk; information security risk has a strong effect on merchandise damage/loss risk, asset damage/loss risk and personnel safety risk; information accuracy risk has a certain effect on the transportation delay risk and storage risk. References | Related Articles | Metrics

Transportation Infrastructure Engineering

Select

Seismic Response Analysis of Pedestrian Suspension Bridge LIU Xiaohui, XU Yang, CHEN Sitian, XU Lueqin 2021, 40(01): 65-71.  DOI: 10.3969/j.issn.1674-0696.2021.01.11 Abstract ( )   PDF (5334KB) ( )   Taking Chengkou pedestrian suspension bridge as the research object, the response spectrum analysis was carried out by using ABAQUS. Three groups of artificial seismic waves were simulated by using trigonometric series method, and the artificial seismic waves which had the greatest impact on the structure were selected for time history analysis. The results were compared with the results of response spectrum analysis. The results show that: the most disadvantageous position of main cable and main beam occurs at the east pylon and middle span respectively; the pedestrian suspension bridge structure is soft and in the long period range in the response spectrum; the seismic excitation response is small, but the response of self-weight load is large, so the self-weight load must be considered when the response spectrum results are output; the results of the time history analysis are generally larger than those of response spectrum analysis, and the peak response value of internal force of pedestrian suspension bridge is in good agreement, while the peak displacement response deviation is mostly between 10% and 30%, and the coincidence degree basically meets the requirements of seismic code. References | Related Articles | Metrics

Select

Failure Mode Analysis of Reinforced Concrete Box Girder under Impact of a Falling Cargo from Passing Truck JU Liping1, WANG Yinhui2, LU Xiaohong3, SHAN Jidong4 2021, 40(01): 72-78.  DOI: 10.3969/j.issn.1674-0696.2021.01.12 Abstract ( )   PDF (9121KB) ( )   A massive falling cargo from passing trucks causes serious cracks and even damage of reinforced concrete box girders, which has the characteristics of localization and shear failure. The finite element software LS-DYNA was used to carry out the numerical simulation of the impact load acting on different positions of the box girder. Combined with the damage situation of a reinforced concrete box girder bridge under the impact of vehicle falling objects, the transfer law and failure mode of impact force effect were studied. Research results show that the dynamic response and failure mode of the box girder impacted by falling objects show obvious shear failure characteristics; the effect of impact force is transferred from the top plate position to the web plate and the bottom plate in turn; the local shear failure occurs when the impact load acts on the roof, and the bending shear oblique cracks may occur after the impact load is transferred to the web. References | Related Articles | Metrics

Select

Influence Analysis of Buckle-Arch Construction Sequence of PBA Station on the Settlement of Upper River-Crossing Bridge CAO Liqiao1, WANG Zhibin2, ZHOU Dingheng3 2021, 40(01): 79-86.  DOI: 10.3969/j.issn.1674-0696.2021.01.13 Abstract ( )   PDF (6872KB) ( )   One metro station by PBA method undercrossed the top bridge, and the three bridge piles above the station were only 0.6m away from the top of the station. Reasonable buckle-arch construction sequence was the key for pile settlement controlling. 3D finite element method midas was used to analyze the variation law of pile displacement, surface subsidence and middle-column displacement under different buckle-arch sequence and different staggered distance between middle span and side span. The research results show that: the middle-column displacement with middle before side span sequence is larger than that with side before middle span sequence, and the pile displacement and surface subsidence can be effectively controlled; taking the three bridge piles closest to the station as the zero point, the transverse influence range of the buckle-arch construction on the bridge piles is about 15m; under the four construction schemes, the maximum differential settlement of bridge piles is basically the same, and the change trend is consistent with the buckle-arch construction step; the absolute settlement and differential settlement of bridge pile caused by buckle-arch construction are within the allowable range, and the upper bridge is in a safe and controllable state; the pile settlement, surface settlement and middle-column displacement of the three-section model with the staggered distance between the middle span and the side span are better than those of the six-section model. After comprehensive comparison and selection, it is suggested that the buckle-arch construction sequence should be middle before the side span, and the staggered distance between the excavation faces of the middle span and the side span should be three-section mode. References | Related Articles | Metrics

Select

Properties and Optimization Design of a New Heteromorphic Ellipse Tunnel Cross-Section WU Zhouhu 2021, 40(01): 87-95.  DOI: 10.3969/j.issn.1674-0696.2021.01.14 Abstract ( )   PDF (1626KB) ( )   Based on the isoconcentration curve equation of two-dimensional convection-diffusion material in river, a new type of two-parameter heteromorphic ellipse inner outline equation was defined. By means of mathematics, the calculating formulas of area, perimeter, centroid coordinates, coefficient of compressibility and radius of curvature of the heteromorphic ellipse were deduced. The shape of heteromorphic ellipse was categorized: when the coefficient of compressibility θ=1, it was called the standard-type; when 0<θ<1, it was called the H-type; when θ>1, it was called the W-type. According to the construction clearance of one-way highway tunnel, the coordinate expression of control point was given. According to the principle that the construction clearance was fully included and the clearance area of tunnel chamber was minimum, the constraint conditions, objective function and optimization design method of the heteromorphic ellipse cross-section were proposed. Research shows that the heteromorphic ellipse has a high degree of conformity with the construction clearance. Compared with the three-centered circle cross-section, the heteromorphic ellipse has the advantages of less design parameters, continuous change of curvature radius, smaller clearance area of tunnel chamber, shorter support and lining perimeter, and smaller engineering quantities of inverted arch excavation and backfill. References | Related Articles | Metrics

Select

Field Test of Bearing Properties of Large Diameter Tubular Pile-Steel Pipe Composite Pile Foundation ZHU Wengong 2021, 40(01): 96-103.  DOI: 10.3969/j.issn.1674-0696.2021.01.15 Abstract ( )   PDF (5652KB) ( )   In order to study the bearing characteristics of the large diameter tubular pile-steel pipe composite pile foundation, relying on the construction of the pile foundation of the second phase of the wharf in the Zhuangyuanao port area of Wenzhou Port, the engineering piles S1 and S2 were selected as the test piles to carry out the vertical static load and horizontal static load test respectively. The vertical static load section strain value ε and pile top displacement Y, pile top rotation angle θ under horizontal static load were measured. The pile axial force Qaxial, pile tip resistance Qpu and pile side friction Qs under vertical static load as well as the mud displacement Y0 and angle θ0 at the mud surface under horizontal load were calculated. The variation law of pile top displacement S changing with horizontal load Q in the process of vertical static load and horizontal static load was analyzed, as well as the variation law of vertical stiffness coefficient K, axial force value Qaxial and pile side resistance Qs at different pile elevation were analyzed. The research shows that the Q-S curve of pile foundation shows slow deformation under vertical static load test; the vertical bearing capacity of test pile S1 and S2 is not less than 10,500 kN, which can well meet the requirements of engineering design; the lateral friction resistance of the pile gradually develops with the increase of embedded depth z of pile body, and its distribution form is “hump-shaped”; under the maximum vertical load Qmax, the test pile S1 and S2 pile tip load ratios are 9.55% and 8.45% respectively, which represents as friction pile; under the horizontal load H, the horizontal bearing capacity of test pile S1 and S2 meets the design requirements; and the maximum bending moment of S1 and S2 is 820 kN·m and 1,038 kN·m respectively, both of which occur at about 3.0 m below the mud surface. It is proved that the large diameter tubular pile-steel pipe composite pile foundation can meet the engineering requirements of the project. References | Related Articles | Metrics

Select

Influence of Void Ratio of Matrix Asphalt Mixture on Viscoelastic Properties of Composite Concrete WANG Dongsheng, CHEN Zhenhong, WANG Yabin, ZHANG Rui 2021, 40(01): 104-111.  DOI: 10.3969/j.issn.1674-0696.2021.01.16 Abstract ( )   PDF (972KB) ( )   In order to clarify the nature of the excellent high and low temperature road performance of composite concrete and to guide the design of composite concrete pavement, the viscoelastic properties of composite concrete in the general temperature range were studied. Three representative values of void ratio of composite concrete were selected — 22%, 25%, 28%. Based on dynamic modulus test, bending creep test and uniaxial compression creep test, the influece of the void ratio of matrix asphalt mixture on the viscoelastic properties of concrete was investigated. The reswarch results show that the viscoelastic properties of composite concrete are closely related with the void ratio of the matrix mixture. Under low temperature conditions, VV=25% composite concrete has relatively strong viscous characteristics. With the increase of temperature, the viscoelastic properties of composite concrete under three kinds of void ratios are gradually approaching. Under high temperature conditions, the viscous characteristics of composite concrete decrease as the void ratios increase. Therefore, compared with the composite concrete with 22% and 28% void ratio, the composite concrete with 25% void ratio has good high temperature stability and low temperature crack resistance. The research results provide a useful reference for the selection of material composition and the selection of design parameters for composite concrete design. References | Related Articles | Metrics

Select

Asphalt Pavement Response Considering Vehicle Dynamic Load and Nonlinear Contact YAN Zhanyou1,2, ZHAO Xiaolin1, CHEN Enli2, ZHAO Guoye3, WANG Zhen4 2021, 40(01): 112-118.  DOI: 10.3969/j.issn.1674-0696.2021.01.17 Abstract ( )   PDF (3396KB) ( )   In order to study the dynamic response of asphalt pavement under the condition of vehicle dynamic load and tire-pavement nonlinear contact, the rubber tire model and vehicle-road interaction model were established by ABAQUS and solved by the central difference method. The applicability of the rubber tire model and vehicle-road interaction model was verified. The results show that: the vehicle-road interaction model with the consideration of rubber tire is feasible. Compared with the concentrated force, the vertical strain at the midpoint of the upper layer wheel trace under the dynamic load is increased by 39.17%; compared with no road roughness, under the action of B-grade road and C-grade road, the suspension elasticity is increased by 3.36% and 14.34% respectively, and the vertical displacement at the midpoint of the upper layer wheel trace is increased by 18.51% and 59.76% respectively. There are tension and compression alternation in vertical, longitudinal and transverse directions of asphalt surface: with the increase of pavement depth, the longitudinal tensile strain appears in both subbase and soil foundation; the maximum longitudinal tensile strain appears in the soil foundation; the maximum transverse tensile strain and the maximum transverse compressive strain appear in the lower layer. References | Related Articles | Metrics

Select

Stress Transfer Behavior of Asphalt Pavement Structure Based on Sensitivity LI Hao1,2, WANG Xuancang1, FANG Naren1, XU Xinquan3 2021, 40(01): 119-126.  DOI: 10.3969/j.issn.1674-0696.2021.01.18 Abstract ( )   PDF (1033KB) ( )   In view of the lack of evaluation indexes for the coordination of asphalt pavement structure layer materials, the sensitivity of mechanical parameters and equivalent envelope area of stress transfer path were proposed to analyze the stress transfer behavior of asphalt pavement structure through mechanical calculation. Software was developed to calculate the equivalent envelope area that can quantitatively and equivalently evaluate the coordination among different layers and visualize the mechanical transfer behavior of each structural layer. The results show that the deflection sensitivity can evaluate the rigidity of the whole structure, and the stress sensitivity can evaluate the stress distribution uniformity and utilization efficiency of each layer. Through visualization of stress transfer path, equivalent envelope area can quantitatively evaluate stress transfer behavior. The rationality of the proposed indexes was verified by FWD deflection test, inverse modulus and pavement disease investigation results of Yunluo test road. The proposed indexes and research ideas can make up for the deficiency that the current code only uses fatigue life to judge whether the pavement structure is reasonable or not, and can provide ideas for the optimization design of pavement structure. References | Related Articles | Metrics

Transportation Equipment

Select

Dynamic Modeling and Fuzzy Sliding Mode Controller Design of Double Wishbone Suspension ZHAO Qiang1, SUN Zheng2 2021, 40(01): 127-133.  DOI: 10.3969/j.issn.1674-0696.2021.01.19 Abstract ( )   PDF (3666KB) ( )   In view of the low accuracy of the model caused by the direct use of suspension parameters in the traditional double-wishbone suspension modeling, which could not fully reflect the dynamic characteristics of the suspension, the mechanism dynamic modeling of the double-wishbone suspension was carried out, and the equivalent coefficients of the damping coefficient and spring stiffness of the suspension were calculated. In order to further optimize the control effect, the sliding mode controller with fuzzy gain control switch was designed, which took the ideal canopy damping system as a reference model, the error dynamic equation between actual controlled system and reference model as the control object of fuzzy sliding mode controller. In order to reduce the chattering in the sliding mode control, the switch gain K (t) was fuzzified and verified by Matlab/ Simulink simulation and compared with PID and passive suspension. The research results show that the fuzzy sliding mode controller can effectively reduce the acceleration of the vehicle body and improve the ride comfort of the vehicle. References | Related Articles | Metrics

Select

Fatigue Analysis of Monorail Vehicle Bogie Frame Based on Different Weld Structure WEN Xiaoxia, JIANG Lu, DU Zixue, KONG Dexu 2021, 40(01): 134-139.  DOI: 10.3969/j.issn.1674-0696.2021.01.20 Abstract ( )   PDF (5757KB) ( )   In order to consider the influence of welds between bogie panels on mechanical properties of bogie and improve the accuracy and effectiveness of simulation analysis results, the static strength analysis of bogie frame based on weld structure was carried out, and the fatigue strength analysis and fatigue damage assessment of bogie frame were analyzed by quasi-static stress method. Meanwhile, the influence of different weld structure forms at the motor box on the fatigue life of the frame was analyzed. The results show that the fatigue life of HV type T-weld at the welding seam of the motor box is 69.6% higher than that of the original single-sided fillet T-weld, which can effectively improve the overall fatigue strength of the bogie frame. References | Related Articles | Metrics

Select

Thermal Management of PCM Foam Aluminum/Liquid Cooling Composite Lithium-ion Battery AN Zhiguo, CHEN Xing, TIAN Maofei, ZHAO Lin, SI Xin 2021, 40(01): 140-146.  DOI: 10.3969/j.issn.1674-0696.2021.01.21 Abstract ( )   PDF (4531KB) ( )   In order to meet the heat dissipation requirements of the battery pack at 3 C discharge rate, a PCM foam aluminum/liquid cooling composite cooling scheme was proposed. The heat dissipation model was numerically simulated by the finite element method. The influence of porosity of PCM foam aluminum, the distance between the flow channels and the liquid flow rate on the temperature of the battery pack was analyzed by response surface methodology. The research results indicate that the porosity and liquid flow rate have significant effects on the maximum temperature of battery pack. The maximum temperature of the battery pack can be reduced by increasing the porosity and liquid flow rate, but the maximum temperature tends to be stable when the porosity and liquid flow rate are greater than 84% and 0.06 M/s respectively. Meanwhile, the flow rate also has a significant influence on the temperature difference of the battery, and the average temperature performance of the battery pack can be improved by increasing the liquid flow rate. Furthermore, when the flow rate is only 0.04 m/s, the maximum temperature of the composite cooling system is 319.0 K, which is 4 K and 4.9 K lower than that of the pure passive cooling system and pure liquid cooling system, and the temperature difference of the battery pack is only 1.8 K. References | Related Articles | Metrics