Dr. Tao Zhu has long been engaged in engineering application research of electric vehicle powertrain and energy storage systems. He has led projects funded by the Engineering and Physical Sciences Research Council (EPSRC) and sub-project under Innovate UK. He has published over 20 papers in journals such as Joule, organized a joint workshop between IEEE UK & Ireland and the Alan Turing Institute, and participated in the development of two industry standards in the battery field. The battery and electric vehicle simulation tools he developed are utilized by companies including Huawei, Caterpillar, and Norton Motorcycles.

Amid the wave of transportation electrification, the electric vehicle (EV) industry increasingly demands efficient and accurate simulation tools for batteries and vehicles. Although traditional commercial software is highly mature, it often struggles to accommodate custom needs and leads to dependencies on specific technical paths. This presentation introduces the development and application of three self-developed modeling and simulation tools: BatPar, a battery parameterization tool that can use random test data and decouples the influence of multiple variables; PyECN, a cell modeling tool with electro-thermal coupling that can map inconsistencies within one cell; and EV-MUSE, an integrated simulation environment for EVs that supports multi-physics coupling and meets the complex demands of vehicle development. These tools are either open-source or soon to be released, aiming to enhance the customizability and controllability in battery and vehicle development.