用于可扩展高性能电机驱动系统的模块化 10kVA 组件架构

本研究项目利用标准化的SiC逆变器模块，开发了一种可扩展的模块化电机驱动架构。通过有效的分布式控制与电流分配策略，该架构旨在将功率等级提升至50 kVA，同时整合分析建模、仿真及硬件在环测试技术，从而在电动出行系统中实现高达98%的效率。

Introduction: Through SRAP, Coventry-based PhD researchers undertake one to two years of research training in Singapore under the joint supervision of researchers from both Coventry and ARTC. The programme offers PhD researchers an exceptional opportunity to gain international research experience while contributing to ambitious, multidisciplinary research addressing global technological and sustainability challenges. This collaborative PhD programme enables researchers to work at the interface of academic research, advanced engineering and industrial innovation. Researchers will engage with expertise and facilities across both institutions, build international research networks, and develop experience in translating advanced research into practical solutions for future mobility and remanufacturing systems. The programme is particularly suited to ambitious researchers seeking to shape next-generation electric mobility systems and circular manufacturing technologies, while gaining valuable research experience across the UK and Singapore. Project details: This PhD research project will investigate the development of a scalable, modular motor-drive architecture based on standardised 10 kVA SiC inverter building blocks. The project will examine how multiple power modules can be interconnected to achieve higher power ratings while maintaining high efficiency, stability, power quality and reliability. It will focus on the hypothesis that appropriate distributed control, synchronisation and current-sharing strategies can enable modular inverter units to operate effectively as a single integrated drive system, with scalability from 10 kVA to 50 kVA and beyond. The research will also investigate the potential to achieve overall system efficiencies of up to 98% through optimised switching strategies, thermal management and distributed DC link energy storage. The project will combine analytical modelling, simulation, controller development, hardware-in-the-loop (HIL) testing and experimental validation to demonstrate the feasibility and performance of the proposed modular architecture under representative operating conditions. Research may include: • Design and development of SiC-based two-level 10 kVA inverter power modules, including power stage design, gate driving and protection. • Investigation of modular DC link capacitor structures and their impact on system performance, power density and reliability. • Development and comparison of master-slave and fully distributed control architectures for modular motor drives. • Development of synchronisation and current sharing strategies to ensure stable and balanced operation of parallel connected inverter modules. • System level modelling and simulation to investigate scalability from 10 kVA to 50 kVA, including efficiency, stability, transient response and power quality performance. • Investigation and optimisation of switching strategies and modulation techniques to minimise losses and improve overall system efficiency. • Investigation of thermal management and electrothermal behaviour of individual modules and the complete modular drive. • Development of distributed DC link energy storage approaches and assessment of their influence on dynamic performance and reliability. • Realtime validation of control strategies using hardware-in-the-loop platforms before implementation on physical hardware. • Design, manufacture and experimental testing of prototype modular inverter systems to validate the proposed architecture and control strategies. • Evaluation of the modular drive against defined performance, scalability, efficiency and reliability targets under representative real-world operating conditions. • Identification of the key technical limitations and design requirements for extending the proposed modular architecture to higher power ratings and different motor-drive applications.

Entry requirements: A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average. PLUS The potential to engage in innovative research and to complete the PhD within 4 years. A minimum of English language proficiency (IELTS academic overall minimum score of 7.0 with a minimum of 6.5 in each component). Additional requirements: Candidates should normally hold, or expect to obtain, a strong first degree and/or master's qualification in a relevant STEM discipline. Suitable backgrounds may include: • Electrical and Electronic Engineering • Power engineering • Industrial and Systems Engineering, or a closely related discipline. Depending on the specific PhD project, desirable technical experience may include one or more of the following: power electronics and motor-drive systems, SiC-based power semiconductor devices and inverter design, experience in control and modulation techniques for power converters, modelling and simulation of power electronic systems, experience in hardware prototyping, experimental testing and hardware-in-the-loop validation. Candidates should demonstrate a strong interest in interdisciplinary research and an enthusiasm for addressing complex engineering and sustainability challenges. Candidates should be capable of working independently while also contributing effectively to a multidisciplinary research team. Strong analytical, problem-solving, communication and scientific writing skills are essential. As the programme involves international collaborative research and an extended research attachment in Singapore, candidates should also demonstrate adaptability, cultural awareness, effective communication and a willingness to work in an international research environment. Candidates may be required to satisfy the academic, English-language, immigration, security and other eligibility requirements of Coventry University, A*STAR and the Singapore Research Attachment Programme.

资助来源： 学费与奖学金 优势： 成功候选人将获得全面的研究训练，包括技术、个人及职业技能方面的培养。考文垂大学的所有研究人员（从博士到教授）均属于博士学院与研究能力与发展中心，该机构将提供高质量的培训及职业发展支持。 您被邀请加入考文垂大学人工智能博士培训中心（C-CDT AI）：这是一个充满活力的合作平台，汇集了大学各处的人工智能研究人员与PGR研究人员。作为C-CDT成员，您将受益于系统的人工智能培训（涵盖核心研究方法至伦理与创新领域）、跨学科同行网络、专业指导、共享GPU/云资源、研讨会、讲座以及以行业为导向的挑战项目。这种额外的培训与社区支持可补充您的本研中心研究计划，加速您的技术与职业发展，并让您融入一个广泛的人工智能研究生态系统，该体系致力于解决各领域的关键问题。

申请方式： 关于该项目的更多信息，请联系**[会员信息]** 所有申请者必须提供完整的辅助文件、推荐信，以及一篇长度为2000字的说明文，以证明申请者的专业能力与兴趣与该项目具有相关性。 申请考文垂大学 申请流程：