Abstract
Recently, State of energy (SOE) has become one of the most fundamental parameters for battery management systems in electric vehicles. However, current information is critical in SOE estimation and current sensor is usually utilized to obtain the latest current information. However, if the current sensor fails, the SOE estimation may be confronted with large error. Therefore, this paper attempts to make the following contributions: Current sensor fault detection and SOE estimation method is realized simultaneously. Through using the proportional integral observer (PIO) based method, the current sensor fault could be accurately estimated. By taking advantage of the accurate estimated current sensor fault, the influence caused by the current sensor fault can be eliminated and compensated. As a result, the results of the SOE estimation will be influenced little by the fault. In addition, the simulation and experimental workbench is established to verify the proposed method. The results indicate that the current sensor fault can be estimated accurately. Simultaneously, the SOE can also be estimated accurately and the estimation error is influenced little by the fault. The maximum SOE estimation error is less than 2%, even though the large current error caused by the current sensor fault still exists.
Highlights
Due to pollution and the energy crisis, electric vehicles (EVs), including battery electric vehicles (BEVs), hybrid electric vehicles (HEVs) and plug-in hybrid electric vehicles (PHEVs) are of great importance [1,2,3]
To reduce the influence caused by the current sensor fault, the proposed simultaneous current shown in Figure is theestimation comparative profiles between the estimatedand current fault are and the sensor fault detection and method is applied to the simulation the results sensor fault detection and State of Energy (SOE) estimation method is applied to the simulation and the results are reference fault
The maximum SOE estimation error is less than 2%, which exists exactly the time when the current sensor fault occurs
Summary
Due to pollution and the energy crisis, electric vehicles (EVs), including battery electric vehicles (BEVs), hybrid electric vehicles (HEVs) and plug-in hybrid electric vehicles (PHEVs) are of great importance [1,2,3]. The proportional integral observer (PIO) is introduced to simultaneously detect the current sensor fault and estimate the SOE. The SOE estimation could be accurate and robust, even the current sensor the fault or how to take measures to reduce the influence of the faults still remains to be solved. By taking advantage unique model properties of the PIO, The PIO the current fault could be isolated from the state estimation, and accurate current sensor based current sensor fault detection and SOE estimation method are proposed and fault analyzed in could be obtained. Building and Analysis current sensor fault detection and SOE estimation method are proposed and analyzed in Section 3; Section 4 establishes simulations and experiments validation and the results are analyzed. 3. The Method to Simultaneously Detect the Current Sensor Fault and Estimate the SOE Based on Proportional Integral Observer.
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