用于感应电能传输系统的新型软开关电路  

A New Circuit of Soft-Switching Inductive Power Transfer System

作　　者：孙跃[1] 赵志斌[1] 王智慧[1] 戴欣[1] 

机构地区：[1]重庆大学自动化学院,重庆400030

出　　处：《电工技术学报》2013年第8期128-134,共7页Transactions of China Electrotechnical Society

基　　金：国家自然科学青年科学(51277192;51007100);中国博士后科学基金(201104317);中央高校基本科研业务费(CDJXS11172238)资助项目

摘　　要：为了降低开关损耗、减小系统体积,提出了一种用于感应电能传输系统的新型软开关电路,其一次逆变环节仅用1个开关管来控制线圈的充能与谐振,开关管的导通与关断均在零电压的条件下完成。以二次串联电容补偿拓扑为例,利用松耦合变压器模型及微分方程精确分析了参数之间的关系,建立了系统的非线性规划模型,采用带精英策略的快速非支配多目标遗传算法来优化模型参数。为了提高算法的寻优性能,利用猫映射混沌模型改进算法的初始值产生方式,以得到分布更均匀的优良初始种群。利用优化的参数对系统进行仿真及实验,结果表明:开关管能够稳定工作于软开关状态,系统参数达到了最优配置,各波形谐振良好,频率稳定。该电路及改进的算法可行且有效。To reduce switching loss and reduce system size, a novel soft-switching circuit of inductively coupled power transfer system is proposed. The primary inverter has only one transistor to control charge and resonance of the primary windings and transistor change from on to off or from off to on are all under zero-voltage conditions. Taking the secondary series-capacitor-compensation topology as an example, parameter relationships are accurately analyzed using loosely-coupled- transformer model and differential equations, nonlinear programming （NLP） model is established, and a fast non-dominated elitist strategy multi-objective genetic algorithm （GA） is adopted to optimize NLP parameters. In order to improve algorithm performance, the old way of producing initial population is modified by using cat map chaotic model to obtain more uniform distribution initial population. Simulation and experimental results using the optimized parameters show that： switches are in stable soft-switching state, system parameters have achieved the optimal configuration, and all resonant waves perform well with stable frequency. The circuit proposed and the modified algorithm are feasible and effective.

关 键 词：感应电能传输 软开关 谐振 松耦合变压器模型 参数优化 多目标遗传算法 

分 类 号：TM74[电气工程—电力系统及自动化]