电动汽车磁耦合无线充电系统的最大效率跟踪方法

• Format: Patent
• Language: Chinese
• Published: 01.12.2017
• Subjects: CALCULATING; CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TOTRANSPORTATION; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; PERFORMING OPERATIONS; PHYSICS; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS; TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINSTCLIMATE CHANGE; TRANSPORTING; VEHICLES IN GENERAL

本发明公开了种电动汽车磁耦合无线充电系统的最大效率跟踪方法，首先通过初始电源激励频率推导出发射和接收线圈之间的互感，将适应度函数变为只与频率有关的函数；将般粒子群算法中的粒子群规模分开设定，分别为最大粒子群规模=30和最小粒子群规模=2，粒子群规模随着迭代次数增加而逐渐减小。本粒子群算法减去冗余粒子，改变粒子群规模，精简算法，加快了算法收敛速度。本发明粒子群算法不但使得粒子规模选取有据可依，且算法在搜索前期具有较大自我学习能力和社会学习能力，在搜索后期，加快收敛速度，算法搜索时间减小。 The invention discloses a maximum efficiency tracking method of an electric automobile magnetic coupling wireless charging system. First of all, mutual inductance between an emission coil and a receiving coil is derived through an initial power supply extraction frequency, and a fitness function is converted into an only frequency-related function; and particle swarm scale in a general particle swarm algorithm is set apart, which is respectively a maximum particle swarm scale Nmax=30 and a minimum particle swarm scale Nmin=2, and the particle swarm scale is gradually decreased as the iteration frequency is increased. According to the invention, redundant particles are reduced from a particle swarm algorithm, the particle swarm scale is changed, the algorithm is concis