Q235B mild steel has the advantages of good mechanical properties, welding properties, and low cost, and it is widely used in bridges, energy fields, and marine equipment. However, Q235B low-carbon steel is prone to serious pitting corrosion in urban water and sea water with high chloride ions (Cl⁻), which restricts its application and development. Herein, to explore the effects of different concentrations of polytetrafluoroethylene (PTFE) on the physical phase composition, the properties of Ni-Cu-P-PTFE composite coatings were studied. The Ni-Cu-P-PTFE composite coatings with PTFE concentrations of 10 mL/L, 15 mL/L, and 20 mL/L were prepared on the surface of Q235B mild steel by the chemical composite plating method. The surface morphology, elemental content distribution, phase composition, surface roughness, Vickers hardness, corrosion current density, and corrosion potential of the composite coatings were analyzed by scanning electron microscopy (SEM), energy dispersive spectrometry (EDS), X-ray diffraction (XRD), three-dimensional profile, Vickers hardness, electrochemical impedance spectroscopy (EIS), and Tafel curve test methods. The electrochemical corrosion results showed that the corrosion current density of the composite coating with a PTFE concentration of 10 mL/L in 3.5 wt% NaCl solution was 7.255 × 10⁻⁶ A∙cm⁻², and the corrosion voltage was −0.314 V. The corrosion current density of the 10 mL/L composite plating was the lowest, the corrosion voltage positive shift was the highest, and the EIS arc diameter of the 10 mL/L composite plating was also the largest, which indicated that the 10 mL/L composite plating had the best corrosion resistance. Ni-Cu-P-PTFE composite coating significantly enhanced the corrosion resistance of Q235B mild steel in 3.5 wt% NaCl solution. This work provides a feasible strategy for an anti-corrosion design of Q235B mild steel.

Gel electrolytes for lithium-ion batteries continue to replace the organic liquid electrolytes in conventional batteries due to their advantages of being less prone to leakage and non-explosive and possessing a high modulus of elasticity. However, the development of gel electrolytes has been hindered by their generally low ionic conductivity at room temperature and high interfacial impedance with electrodes. In this paper, a poly (vinylidene fluoride)-hexafluoropropylene copolymer (PVdF-HFP) with a flexible structure, Li₆PS₅Cl (LPSCl) powder of the sulfur–silver–germanium ore type, and lithium perchlorate salt (LiClO₄) were prepared into sulfide gel composite electrolyte films (GCEs) via a thermosetting process. The experimental results showed that the gel composite electrolyte with 1% LPSCl in the PVdF-HFP matrix exhibited an ionic conductivity as high as 1.27 × 10⁻³ S·cm⁻¹ at 25 °C and a lithium ion transference number of 0.63. The assembled LiFePO₄||GCEs||Li batteries have excellent rate (130 mAh·g⁻¹ at 1 C and 54 mAh·g⁻¹ at 5 C) and cycling (capacity retention was 93% after 100 cycles at 0.1 C and 80% after 150 cycles at 0.2 C) performance. This work provides new methods and strategies for the design and fabrication of solid-state batteries with high ionic conductivity and high specific energy.

Currently, courier delivery is not efficient enough because of synchronization requirements of time and location between the courier and customer. To solve this problem, a new express delivery mode based on automatic parcel machine (APM) is proposed. Under the new delivery mode, a mathematical programming model is established to minimize the number of delivery vehicles and total vehicle mileage, considering constraint conditions such as vehicle loading capacity and specific driving order requirements for vehicles from customer demand points to their subordinate APMs. Based on the complexity of the problems, advantages, and disadvantages of the genetic algorithm (GA) in solving these kinds of problems, the cellular genetic algorithm (CGA) is proposed. An analysis of examples shows that CCA is superior to the normal CA in terms of searching ability and efficiency, and it can solve large-scale express vehicle delivery routing problems based on APM.

According to the characteristic of bus regional scheduling optimization problem, the multi-objective optimization model with the minimization of the total number of vehicles and the total vehicle idle running time as objects was established, considering time window, the driver and vehicle limits on constraints. And the improved genetic algorithm was developed to solve the model. Actual application shows that the model and algorithm can quickly obtain the satisfactory solution of bus regional scheduling optimization scheme, which being worthy of popularizing.

Authors presented a new multi-objective mathematical model for solving real-world Vehicle dispatching problems in logistics distribution companies. The model was formulated as a mixed integer programming problem. The double-object optimal model with the minimization of total number of vehicles as the first object and the minimization of the total cost as the second object was established, and a heuristic method with two steps was developed to solve it. Firstly, all the destinations were plot out for each vehicle by an advanced dynamic clustering algorithm; secondly, the route of each vehicle was found out by dynamic programming. The practical applications show that the algorithm could reduce the complexity of the problem and the satisfactory solution could be obtained in reasonable time. Both model and algorithm may extend to other cases.

Many taxies often run with none or few passengers, occupying a lot of road resources. In order to improve the utilization ratio of the taxi, reduce congestion and save energy consumption, the taxi-sharing system was analyzed and studied on the following key technologies: taxi-sharing mode construction, sharing cost calculation and implement measures. The implementation of the carpool system has great realistic significance to solve urban traffic problems and realize the green transportation.