Silergy Semiconductor Technology (Hangzhou) Ltd

Yutou Technology (Hangzhou) Co., Ltd.

Hangzhou Dianzi University

Lei Shen

Xiaodong Huang

Lijun Hang

Anping Tong

Chi Shao

Yuanbin He

Pingliang Zeng

Shenglun Chen

Jiansong Chen

The present disclosure discloses a hybrid five-level bidirectional DC/DC converter and a voltage match modulation method thereof. The converter includes a first input filter capacitor Cand a second input filter capacitor C, an output filter capacitor C, a DC voltage source, a primary-side hybrid five-level unit, a primary-side two-level half bridge, a secondary-side single-phase full bridge H, a high-frequency isolation transformer M, a high-frequency inductor L, and a controller. A positive pole of a DC bus of the primary-side hybrid five-level unit is coupled to a positive pole of the corresponding DC voltage source and to a positive pole of the input filter capacitor Crespectively. A negative pole of the DC bus of the primary-side hybrid five-level unit is coupled to a negative pole of the corresponding DC voltage source and to a negative pole of the input filter capacitor Crespectively. A terminal of the primary-side hybrid five-level unit is coupled to a midpoint between the first input filter capacitor Cand the second input filter capacitor Cconnected in series. The primary-side hybrid five-level unit is coupled to a primary side of the high-frequency isolation transformer Mthrough the high-frequency inductor L, and a midpoint of the primary-side two-level half bridge is coupled to another terminal of the primary side of the high-frequency transformer.

Hybrid five-level bidirectional DC/DC converter and voltage match modulation method thereof

The invention discloses a sentence similarity judgment method, which belongs to the technical field of natural language processing. The method comprises: according to two externally input sentence samples, respectively obtaining a character/word vector matrix in each sentence sample; respectively extracting overlapped features in each sentence sample to form an overlapped feature matrix, and combining the corresponding character/word vector matrix with the overlapped feature matrix for each sentence sample to serve as input data of the first neural network model; respectively processing according to the first neural network model to obtain the sentence vector for each sentence sample, then processing the sentence vectors to form a sentence combination vector, and combining the sentence combination vector with an overlapped feature vector formed according to the overlapped features to serve as the input data of the second neural network model; and processing according to the second neural network model to obtain a similarity metric associated with the two sentence samples, and outputting the similarity metric to serve as a basis for determining the similarity of the two sentence samples. The above technical solution has the beneficial effect of providing a method for determining sentence similarity, which can be used for solving the problem that the calculation of sentence similarity heavily depends on the quality of pre-trained character/word vectors and unregistered words in the prior art, thereby improving the measurement method for the calculation of sentence similarity.

Method for determining sentence similarity

A motor drive device can include: a control circuit configured to adjust each phase current of a three-phase inverter of a motor; where the phase current of the three-phase inverter rises from zero to a first threshold during a first time interval; and where the phase current is controlled to drop gradually from the first threshold to zero during a second time interval in order to increase the second time interval.

Motor drive device, control method and motor

Growing community of inventors

Hangzhou, China

Lei Shen