Design of vehicle control unit and research on control strategy for FSAE electric vehicle

2014 ◽  
Author(s):  
Zhifu Wang ◽  
Jingzhe Yang ◽  
Jianjun Shi
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Control Unit ◽  
Vehicle Control

Development of PROTON Electric Vehicle Control Unit (eVCU) Using State Machine Deterministic Rule-Based Approach

2014 ◽  
Vol 663 ◽  
pp. 532-538
Author(s):  
Nor Aziah Mohd Azubir ◽  
Mohd. Khair Hassan ◽  
Hairi Zamzuri ◽  
Saiful Amri Mazlan
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Supervisory Control ◽  
World View ◽  
Control Unit ◽  
State Machine ◽  
Optimum Level ◽  
Rule Based ◽  
High Level ◽  
Power And Energy

There are many types of Electric Vehicle (EV) applied in automotive industry. It can be hybridization or electrification vehicle. Battery Electric Vehicle (BEV) also called as fully electric vehicle using batteries as the only source and an electric motor as a traction motor to move the vehicle. In a world view of BEV, it is still has circumstances that would strand the BEV to have huge commercialization due to range anxiety. This paper is discussing about an electrification vehicle power and energy management (PEM) strategy. PEM strategy has two layer control strategies that consist of low level component control and high level supervisory control. Management and control strategy in BEV is carefully designed due to heavy loads consumption from Propulsion Electrical Load (PEL) and Non Propulsion Electrical Loads (NoPEL) with a single energy source. This is to ensure that power and energy is managed at optimum level that will give some extension of wider kilometer of the vehicle. The BEV performance is typically controlled by high level supervisory control algorithm using event-based condition using state machine deterministic rule-based method. More than one drive mode to be determined in this paper as part of control strategy to get an optimal PEM performance.

Research on Drive Control and Safety Management Strategy for Electric Vehicle

2014 ◽  
Vol 721 ◽  
pp. 308-312
Author(s):  
Hong Wei Liu ◽  
Li Juan Wang ◽  
Jun Hui Tian
Keyword(s):  
Electric Vehicle ◽  
Management Strategy ◽  
Safety Management ◽  
Control Unit ◽  
Vehicle Control ◽  
Driving Mode ◽  
Drive Control ◽  
Main Fault ◽  
Vehicle Status

The driving intentions are identified, based on gear, pedal signals and vehicle status. Driving process is divided into starting mode, driving mode, reversing mode and so on. Safety management module is set, in order to control the process of power on and off, and detect the main fault related to vehicle control unit.

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