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Electric vehicles are considered as one of the most popular way to decrease the consumption of petroleum resources and reduce environmental pollutions. Motor control system is one of the most important part of electric vehicles. It includes power supply module, IGBT driver, digital signal processing (DSP) controller, protection adjustment module, and resolver to digital convertor. To implement the control strategies on motor control system, a lot of practical aspects need to be taken into accounts. It includes setup of the initial excitation current, consistency of current between motor and program code, over-modulation, field weakening control, current protection, and so on. In this paper, an induction motor control system for electric vehicles is developed based on DSP. The control strategy is based on the field-oriented control (FOC) and space vector pulse width modulation (SVPWM).

Pure electric vehicles are recognized as one of the most important new energy vehicle types to meet the increasingly stringent standards in energy saving and environment protection. To meet the control demands, China Automotive Technology & Research Center(CATARC) plan to develop an advanced Vehicle Control Platform(VCP) for pure electric vehicles. The developed VCP is well structured on both hardware and software and can be adapted to different pure electric vehicles easily. This paper describes the design of the hardware, the software architecture, the base software and the control strategy applied in the VCP in detail. A matching method is proposed to configure the VCP to a real VCU for the specific application by modifying the hardware channel definition and the control parameters. The paper shows successful application of the VCP on several types of pure electric vehicles.

Battery management system (BMS) is the core component of the new energy vehicle battery system. With the increase of energy density of new energy vehicle battery, its control algorithm becomes more and more complex, and the work of the battery management system will be heavier. In order to solve the limits, the hardware, software and control strategy model of battery management system are developed based on AURIX multi-core microcontroller. The microprocessor control unit is developed by using dual-core chip, which meets the functional safety requirements. Dual-core processing of control strategy and individual information acquisition are realized, and the processing efficiency is improved. A four-tier software architecture of battery management system is developed to handle the Dual-core processing. The graphical development of battery management system strategy model is realized by using MATLAB / Simulink.