Research on the Construction of New Energy Automotive Industry Innovation System based on Low-carbon Economy

Abstract: The development of new energy automotive industry meets new opportunity and challenge with the emergence of low-carbon economy. The low-carbon economy not only has provided the development direction for the new energy automotive industry ， but may also changed the fundamental nature of it simultaneously. What is more, it even can evoke deep-seated revolution of the automotive industry. The article has elaborated the elements, structure model and operation mechanism of the new energy automotive industry based on the low-carbon economy development pattern. Indeed, it provided a brand-new thought for our new energy automotive industry development. Key words: Low-carbon economy; New energy automotive; Industrial innovation syste

Research on the Evaluation of the New Energy Auto Industry Innovation System

The evaluation of the new energy automotive industry innovation system is due to improve the comprehensive evaluation of system operation ability. It helps the new energy automotive industry to know, grasp and analyze the regular of innovative activities. It is an important tool to systematize, scientificly demonstrate and analyze the implementation of the industry innovation of various system components.Key words: New energy automotive; Industry innovation system; System evaluatio

Admittance Control of Four-link Bionic Knee Exoskeleton with Inertia Compensation

This paper proposes a control algorithm based on the admittance principle for the motion of the four-link bionic knee exoskeleton. Firstly, the interaction between the operator and the exoskeleton was converted into the desired trajectory of the exoskeleton. Then, the inertia compensation is achieved in light of the admittance features of exoskeleton movement. Finally, the validity of the admittance control method for four-link bionic knee was confirmed through simulation experiment. The simulation results show that the relative error of the joint angle between the operator and the exoskeleton was less than 5% at normal swinging frequency, and the interaction force between the manipulator and the exoskeleton was within ±0.5 N. The research findings lay a theoretical basis for practical application of exoskeletons

Research on the Internal Controls Efficiency of the Real Estate Enterprise Based on Factor Analysis

In the beginning, this paper researches on the operating efficiency of the 45 Chinese Real estate listed companies through DEA method. It could use technological efficiency of these as a variables and the internal controls efficiency of the real estate enterprise to do factor analyze. Thus, we can draw of comprehensive evaluation of internal control efficiency of the Chinese real estate enterprise. Analysis shows that at the top of internal control efficiency of the real estate enterprise is good only in one or two factor level, which is illustrated that the level of overall efficiency of the Chinese real estate enterprises need to be improved.Key words: The real estate enterprise; Internal control efficiency; DEA; Factor analysi

An evaluation study of miniature dielectric crossed compound parabolic concentrator (dCCPC) panel as skylights in building energy simulation

The potential of miniature dielectric crossed compound parabolic concentrator (dCCPC) panel as skylights for daylighting control has drawn a considerable research attention in the recent years, owing to its feature of variable transmittance according to the sun position, but the viability of using it as skylights in buildings has not been explored yet comprehensively. This paper aims to study the feasibility of utilizing miniature dCCPC panel as skylight in different locations under various climates in terms of energy saving potential besides its daylighting control function. The transmittance of dCCPC panel varies at every moment according to the sky condition and sun position. Due to this specific property, this study novelly implemented a polynomial formula of the dCCPC transmittance in the Grasshopper platform, from which EnergyPlus weather data can be called to calculate the hourly transmittance data of dCCPC skylight panel throughout the whole year. An hourly schedule of transmittance is generated according to the hourly sky condition determined by the daylight simulation through Radiance and Daysim, and is then input to EnergyPlus simulation to predict the energy consumption of a building with dCCPC skylight. Fourteen locations around the world are therefore compared to find the most appropriate place for using miniature dCCPC panel as skylights. The energy saving in cooling, heating and lighting with use of dCCPC skylight panel are investigated and compared with low-E and normal double glazing. The results show that the dCCPC skylight panel can reduce cooling load by mitigating solar heat gain effectively although its performance is affected by several criteria such as sky conditions and local climates. It is generally more suitable for the locations with longer hot seasons, e.g., Log Angeles, Miami, Bangkok and Manila, in which dCCPC could provide up to 13% reduction in annual energy consumption of building. For the locations having temperate and continental climates like Beijing, Rome, Istanbul and Hong Kong, a small annual energy saving from 1% to 5% could be obtained by using dCCPC skylight panel

Learning-Initialized Trajectory Planning in Unknown Environments

Autonomous flight in unknown environments requires precise planning for both the spatial and temporal profiles of trajectories, which generally involves nonconvex optimization, leading to high time costs and susceptibility to local optima. To address these limitations, we introduce the Learning-Initialized Trajectory Planner (LIT-Planner), a novel approach that guides optimization using a Neural Network (NN) Planner to provide initial values. We first leverage the spatial-temporal optimization with batch sampling to generate training cases, aiming to capture multimodality in trajectories. Based on these data, the NN-Planner maps visual and inertial observations to trajectory parameters for handling unknown environments. The network outputs are then optimized to enhance both reliability and explainability, ensuring robust performance. Furthermore, we propose a framework that supports robust online replanning with tolerance to planning latency. Comprehensive simulations validate the LIT-Planner's time efficiency without compromising trajectory quality compared to optimization-based methods. Real-world experiments further demonstrate its practical suitability for autonomous drone navigation

The design, construction and experimental characterization of a novel concentrating photovoltaic/daylighting window for green building roof

A novel concentrating photovoltaic/daylighting window to achieve the multi-function of the electricity generation and daylighting for buildings has been designed, constructed and experimentally characterized. It’s found that the concentrating photovoltaic/daylighting window can achieve a transmittance of around 10% for the natural daylight without decreasing the optical efficiency of the concentrator. The overall daylighting and electrical performance of the concentrating photovoltaic/daylighting window are investigated under the real weather condition.The hourly illuminance level, the temperature of the inner environment of the box and transient I–V curves are determined. The short-circuit current, open-circuit voltage maximum power generation, and Fill Factor of the system are derived from eachindividual I–V curve. Through the experiment testing, the illuminance level in the integrating box is in the range of 923-9230 lx with the outside illuminance level exceeds 100000 lx during noon time, which prove that the concentrating photovoltaic/daylighting window can improve the visual comfort for the building interior environment and it can also avoid the building interior environment from overheating and dazzling at noon which is caused by direct sunlight throughtransparent window. The preliminary economic analysis of the new concentrating photovoltaic/daylighting window is also made

Polycyclic Aromatic Hydrocarbons Concentration in Straw Biochar with different Particle Size

AbstractBiochar, a carbon-rich material formed by a biomass pyrolyzed at relatively low temperatures (≤700°C), showed attractive sorption capacity on both organic pollutants and heavy metals and wildly used in various areas of environmental engineering. However, polycyclic aromatic hydrocarbons (PAHs) may also be assumed to be produced for the oxygen-limited pyrolysis condition in biochar production process. It is not well known about the affect of particle size in concentration and distributing characteristic of PAHs of biochar. In the current study, twenty-seven PAHs concentration in maize straw biochar produced with different powder particle size (9.31, 20.26, 60.77, 71.07, 101.9μm) were quantified, and the ∑27PAHs, total LMW PAHs, total MMW PAHs and total HMW PAHs concentration were analyzed. As the particle size increase, the ∑27PAHs concentrations show a trend of firstly increase and then decrease, and the maximum appears at 60.77μm (166.52 ng/g) and the minimum appears at 101.90μm (14.63 ng/g). LMW total PAHs and total MMW PAHs concentrations firstly increase and then decrease, with the particle size increasing from 9.31μm to 101.9μm. Meanwhile, the total HMW PAH concentrations decrease gradually when biochar particle size increasing. Compared to US, UK background soil concentrations and Canada standards, it is appropriate to conclude that PAHs in straw biochar have minimal effects after application to soil especially at 101.9μm