汽车工程
计算机科学
电动汽车
数字信号处理
仪表板
汽车发动机
汽车工业
电池(电)
电动机
嵌入式系统
实时计算
工程类
计算机硬件
电气工程
功率(物理)
量子力学
物理
航空航天工程
作者
Bilal Akin,Seungdeog Choi,Hamid A. Toliyat
标识
DOI:10.1109/msp.2012.2185863
摘要
As reported by the Web site CBS MoneyWatch [1], electric vehicles are seeing a steady growth in consumer interest, especially within the youngest age group of potential buyers. As is the case with all vehicles, it is very important and even required to continuously monitor its vital equipment. Therefore, today almost all vehicles are equipped with an onboard diagnosis (OBD) system. This system is used for warnings and monitoring critical failures in the vehicle such as ignition, battery, oil and gasoline level, engine, and brakes, among others. If a problem or malfunction is detected, the OBD system sets a malfunction indicator light (MIL) on the dashboard that is readily visible to the vehicle operator and informs the driver of the existing problem. The OBD is a valuable tool that assists in the service and repair of vehicles by providing a simple, quick, and effective way to pinpoint problems by retrieving vital automobile diagnostics. In the case of vehicles with electric motors, the detection of faults expectedly differs from that in vehicles with gasoline engines. This article will describe DSP techniques using Texas Instruments TMS320F2812 signal processor to achieve this.
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