In this paper, a novel axial flux reversal permanent magnet (PM) (AFRPM) machine, which combines the merit of the axial flux PM (AFPM) machine and flux reversal PM machine, is proposed.Meanwhile, according to the characteristics of the machine, a method to reduce the torque ripple is presented and researched.Firstly, the topology and operation prin
Determinants of station-based round-trip bikesharing demand
First and last mile connectivity of public transport hubs is a key component in promoting multi-modal travel.The Dutch train station operator (NS Stations) promotes the combination of bike and train by offering a train station-based round-trip bikesharing (SBRT) scheme, known as ‘OV-fiets’, located at train stations throughout the country.This
Segment-Based CO₂ Emission Evaluations From Passenger Cars Based on Deep Learning Techniques
The overall level of emissions from the Swiss passenger cars is strongly dependent Queen Platform Base on the fleet composition.Despite technology improvements, the Swiss passenger cars fleet remains emissions intensive.To analyze the root of this problem and evaluate potential solutions, this paper applies deep learning techniques to evaluate the
Modern Contradictions in the Domestic Electric Power Industry
The article is concerned with studying the current state of the Sconce domestic electric power industry and the existing and potential contradictions between stakeholders in the process of its restoration and modernization.Based on the studies of world experience, possible changes are indicated, namely: recovery of the energy system on the basis of
Modified cosine-quadratic reflectance model
In DULSE LEAVES the article, a new light reflectance model is proposed.The model is based on the modified cosine-quadratic bidirectional reflectance distribution function.The concept of bidirectional reflectance distribution function is analyzed.The disadvantages of existing physically accurate and empirical bidirectional reflectance distribution f