Journal of Automotive Safety and Energy ›› 2023, Vol. 14 ›› Issue (1): 69-79.DOI: 10.3969/j.issn.1674-8484.2023.01.009
• Intelligent Driving and Intelligent Transportation • Previous Articles Next Articles
CHENG Jie1(
), ZHENG Kai1, QIN Jia2, WU Xiaodong1,*(
)
Received:2022-05-23
Revised:2022-11-09
Online:2023-02-28
Published:2023-03-07
Contact:
WU Xiaodong
E-mail:cheng_jie@sjtu.edu.cn;xiaodongwu@sjtu.edu.cn
CLC Number:
CHENG Jie, ZHENG Kai, QIN Jia, WU Xiaodong. Functional safety analysis and application design of EMB system for intelligent vehicles[J]. Journal of Automotive Safety and Energy, 2023, 14(1): 69-79.
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URL: https://www.journalase.com/EN/10.3969/j.issn.1674-8484.2023.01.009
| 类别 | 等级 | 描述 |
|---|---|---|
| 严重度(S) | S0 | 无伤害(通常不考虑) |
| S1 | 轻微或有限伤害 | |
| S2 | 严重伤害 | |
| S3 | 危及生命的伤害或致命伤害 | |
| 暴露率(E) | E0 | 几乎不可能(通常不考虑) |
| E1 | 可能性非常低 | |
| E2 | 可能性低 | |
| E3 | 中等可能性 | |
| E4 | 可能性高 | |
| 可控性(C) | C0 | 通常可控(通常不考虑) |
| C1 | 简单可控 | |
| C2 | 正常可控 | |
| C3 | 很难控制或不可控 |
| 类别 | 等级 | 描述 |
|---|---|---|
| 严重度(S) | S0 | 无伤害(通常不考虑) |
| S1 | 轻微或有限伤害 | |
| S2 | 严重伤害 | |
| S3 | 危及生命的伤害或致命伤害 | |
| 暴露率(E) | E0 | 几乎不可能(通常不考虑) |
| E1 | 可能性非常低 | |
| E2 | 可能性低 | |
| E3 | 中等可能性 | |
| E4 | 可能性高 | |
| 可控性(C) | C0 | 通常可控(通常不考虑) |
| C1 | 简单可控 | |
| C2 | 正常可控 | |
| C3 | 很难控制或不可控 |
| 功能 | 失效模式 | 风险事件 | E | S | C | ASIL |
|---|---|---|---|---|---|---|
| 制动需求 | 驾驶员制动需求丢失 | 制动力丧失,与前车追尾 | 4 | 3 | 3 | D |
| 外部制动需求丢失 | 制动力丧失,与前车追尾 | 4 | 3 | 3 | D | |
| 制动失效 | 制动力丧失,与前车追尾 | 4 | 3 | 3 | D | |
| 突发制动 | 与后车追尾 | 4 | 3 | 3 | D | |
| 制动过度 | 与后车追尾 | 3 | 3 | 3 | C | |
| 制动力矩疲软 | 制动力建立异常,与前车追尾 | 4 | 3 | 2 | C | |
| 单个或多个车轮制动失效 | 车辆出现非预期横向运动,与其他车辆、行人等发生碰撞 | 4 | 3 | 3 | D | |
| 单个或多个车轮制动意外制动 | 车辆出现非预期横向运动,与其他车辆、行人等发生碰撞 | 4 | 3 | 3 | D | |
| 单个或多个车轮制动过度 | 与其他车辆、行人等发生碰撞 | 4 | 3 | 3 | D | |
| 单个或多个车轮制动不足 | 与其他车辆、行人等发生碰撞 | 4 | 3 | 3 | D | |
| 四轮制动力矩分配 | 制动力矩分配异常,单个或单侧车轮制动力异常 | 制动跑偏,与周围车辆或障碍物相撞 | 4 | 3 | 3 | D |
| 车辆稳定控制 | 车辆制动力异常 | 车辆稳定性丧失 | 4 | 3 | 3 | D |
| 刹车灯控制 | 刹车灯失效 | 与后车追尾 | 3 | 3 | 2 | B |
| 人机界面显示 | 错误警告失效 | 无法及时发现制动功能异常 | 3 | 2 | 2 | A |
| 功能 | 失效模式 | 风险事件 | E | S | C | ASIL |
|---|---|---|---|---|---|---|
| 制动需求 | 驾驶员制动需求丢失 | 制动力丧失,与前车追尾 | 4 | 3 | 3 | D |
| 外部制动需求丢失 | 制动力丧失,与前车追尾 | 4 | 3 | 3 | D | |
| 制动失效 | 制动力丧失,与前车追尾 | 4 | 3 | 3 | D | |
| 突发制动 | 与后车追尾 | 4 | 3 | 3 | D | |
| 制动过度 | 与后车追尾 | 3 | 3 | 3 | C | |
| 制动力矩疲软 | 制动力建立异常,与前车追尾 | 4 | 3 | 2 | C | |
| 单个或多个车轮制动失效 | 车辆出现非预期横向运动,与其他车辆、行人等发生碰撞 | 4 | 3 | 3 | D | |
| 单个或多个车轮制动意外制动 | 车辆出现非预期横向运动,与其他车辆、行人等发生碰撞 | 4 | 3 | 3 | D | |
| 单个或多个车轮制动过度 | 与其他车辆、行人等发生碰撞 | 4 | 3 | 3 | D | |
| 单个或多个车轮制动不足 | 与其他车辆、行人等发生碰撞 | 4 | 3 | 3 | D | |
| 四轮制动力矩分配 | 制动力矩分配异常,单个或单侧车轮制动力异常 | 制动跑偏,与周围车辆或障碍物相撞 | 4 | 3 | 3 | D |
| 车辆稳定控制 | 车辆制动力异常 | 车辆稳定性丧失 | 4 | 3 | 3 | D |
| 刹车灯控制 | 刹车灯失效 | 与后车追尾 | 3 | 3 | 2 | B |
| 人机界面显示 | 错误警告失效 | 无法及时发现制动功能异常 | 3 | 2 | 2 | A |
| 序号 | 功能安全目标 | ASIL |
|---|---|---|
| SG01 | 车辆在驾驶员踩下制动踏板时应避免制动请求丢失 | D |
| SG02 | 避免外部制动请求丢失 | D |
| SG03 | 避免车辆在没有制动需求时应突发制动 | D |
| SG04 | 避免车辆制动力矩过大 | C |
| SG05 | 制动时避免制动力矩过低或建压速度缓慢 | C |
| SG06 | 避免单个或多个车轮制动失效 | D |
| SG07 | 避免单个或多个车轮突发制动 | D |
| SG08 | 避免单个或多个车轮制动过度 | D |
| SG09 | 避免单个或多个车轮制动不足 | D |
| SG10 | 避免车辆在制动时力矩分配异常,导致制动跑偏或车轮锁死 | D |
| SG11 | 避免车辆失稳,侧翻 | D |
| SG12 | 避免车辆在制动时应避免刹车灯未激活 | B |
| SG13 | 避免人机界面显示功能失效 | A |
| 序号 | 功能安全目标 | ASIL |
|---|---|---|
| SG01 | 车辆在驾驶员踩下制动踏板时应避免制动请求丢失 | D |
| SG02 | 避免外部制动请求丢失 | D |
| SG03 | 避免车辆在没有制动需求时应突发制动 | D |
| SG04 | 避免车辆制动力矩过大 | C |
| SG05 | 制动时避免制动力矩过低或建压速度缓慢 | C |
| SG06 | 避免单个或多个车轮制动失效 | D |
| SG07 | 避免单个或多个车轮突发制动 | D |
| SG08 | 避免单个或多个车轮制动过度 | D |
| SG09 | 避免单个或多个车轮制动不足 | D |
| SG10 | 避免车辆在制动时力矩分配异常,导致制动跑偏或车轮锁死 | D |
| SG11 | 避免车辆失稳,侧翻 | D |
| SG12 | 避免车辆在制动时应避免刹车灯未激活 | B |
| SG13 | 避免人机界面显示功能失效 | A |
| 编号 | 功能安全需求 | ASIL |
|---|---|---|
| FSR 1 | 驾驶员制动需求准确检测 | D |
| FSR 1.1 | 踏板位置传感器提供正确位置信号 | B(D) |
| FSR 1.2 | 踏板加速度传感器提供准确加速度信号 | A(D) |
| FSR 1.3 | 冗余位置传感器在正常传感器故障时提供正确位置信号 | B(D) |
| FSR 1.4 | 踏板传感器信号范围校验,位置传感器及加速度传感器匹配校验 | D(D) |
| FSR 2 | CAN通讯网络正常收发报文 | D |
| FSR 2.1 | CAN1线正常工作 | B(D) |
| FSR 2.2 | 冗余CAN2线正常工作 | B(D) |
| FSR 2.3 | CAN通讯信号校验 | D(D) |
| 编号 | 功能安全需求 | ASIL |
|---|---|---|
| FSR 1 | 驾驶员制动需求准确检测 | D |
| FSR 1.1 | 踏板位置传感器提供正确位置信号 | B(D) |
| FSR 1.2 | 踏板加速度传感器提供准确加速度信号 | A(D) |
| FSR 1.3 | 冗余位置传感器在正常传感器故障时提供正确位置信号 | B(D) |
| FSR 1.4 | 踏板传感器信号范围校验,位置传感器及加速度传感器匹配校验 | D(D) |
| FSR 2 | CAN通讯网络正常收发报文 | D |
| FSR 2.1 | CAN1线正常工作 | B(D) |
| FSR 2.2 | 冗余CAN2线正常工作 | B(D) |
| FSR 2.3 | CAN通讯信号校验 | D(D) |
| 功能安全需求 | 序号 | 类型 | 技术安全需求 | ASIL等级 |
|---|---|---|---|---|
| 驾驶员制动需求准确检测 (ASIL D) | TSR1.1 | 硬件 | 踏板位置传感器正常工作 | ASIL B(D) |
| TSR1.2 | 硬件 | 备用踏板位置传感器正常工作 | ASIL B(D) | |
| TSR1.3 | 硬件 | 踏板加速度传感器正常工作 | ASIL A(D) | |
| TSR1.4 | 软件 | 踏板状态信号校验 | ASIL D(D) | |
| CAN通讯网络正常收发报文(ASIL D) | TSR2.1 | 硬件 | CAN1正常唤醒 | ASIL B(D) |
| TSR2.2 | 硬件 | CAN1总线电压正确 | ASIL B(D) | |
| TSR2.3 | 软件 | CAN1报文校验 | ASIL B(D) | |
| TSR2.4 | 硬件 | CAN1电气隔离 | ASIL B(D) | |
| TSR2.5 | 硬件/软件 | CAN1故障监测 | ASIL D(D) | |
| TSR2.6 | 硬件 | CAN2正常唤醒 | ASIL B(D) | |
| TSR2.7 | 硬件 | CAN2总线电压正确 | ASIL B(D) | |
| TSR2.8 | 软件 | CAN2报文校验 | ASIL B(D) | |
| TSR2.9 | 硬件 | CAN2电气隔离 | ASIL B(D) | |
| TSR2.10 | 硬件/软件 | CAN2故障监测 | ASIL D(D) |
| 功能安全需求 | 序号 | 类型 | 技术安全需求 | ASIL等级 |
|---|---|---|---|---|
| 驾驶员制动需求准确检测 (ASIL D) | TSR1.1 | 硬件 | 踏板位置传感器正常工作 | ASIL B(D) |
| TSR1.2 | 硬件 | 备用踏板位置传感器正常工作 | ASIL B(D) | |
| TSR1.3 | 硬件 | 踏板加速度传感器正常工作 | ASIL A(D) | |
| TSR1.4 | 软件 | 踏板状态信号校验 | ASIL D(D) | |
| CAN通讯网络正常收发报文(ASIL D) | TSR2.1 | 硬件 | CAN1正常唤醒 | ASIL B(D) |
| TSR2.2 | 硬件 | CAN1总线电压正确 | ASIL B(D) | |
| TSR2.3 | 软件 | CAN1报文校验 | ASIL B(D) | |
| TSR2.4 | 硬件 | CAN1电气隔离 | ASIL B(D) | |
| TSR2.5 | 硬件/软件 | CAN1故障监测 | ASIL D(D) | |
| TSR2.6 | 硬件 | CAN2正常唤醒 | ASIL B(D) | |
| TSR2.7 | 硬件 | CAN2总线电压正确 | ASIL B(D) | |
| TSR2.8 | 软件 | CAN2报文校验 | ASIL B(D) | |
| TSR2.9 | 硬件 | CAN2电气隔离 | ASIL B(D) | |
| TSR2.10 | 硬件/软件 | CAN2故障监测 | ASIL D(D) |
| [1] | WU Xiaodong, ZHANG Mingming, XU Min. Active tracking control for steer-by-wire system with disturbance observer[J]. IEEE Trans Vehi Tech, 2019, 68(6): 5483-5493. |
| [2] | 何祥坤, 杨恺明, 季学武, 等. 基于集成式线控液压制动系统的车辆稳定性控制[J]. 汽车安全与节能学报, 2017, 8(2): 170-177. |
| HE Xiangkun, YANG Kaiming, JI Xuewu, et al. Vehicle stability control based on integrated-electrohydraulic brake system[J]. J Autom Safe Energ, 2017, 8(2): 170-177. (in Chinese) | |
| [3] | 梅明明. 基于半解耦式电子制动助力器的线控制动技术研究[D]. 北京: 清华大学, 2019. |
| MEI Mingming. Research on line control technology based on semi-decoupled electronic brake booster[D]. Tsinghua University, Beijing, 2019. (in Chinese) | |
| [4] | Ban D, Jin S, Yoo C, et al. Design guideline of the EMB controller based on ISO26262 [C]// 2017 2nd IEEE Int’l Conf Intel Transport Engi (ICITE), Singapore, 2017: 5-8. |
| [5] | International Organization for Standardization(ISO).ISO 26262: 2018 Road vehicles-functional safety[S]. Geneva: International Organization for Standardization, 2018. |
| [6] | 纪宏岩, 崔书超, 孙灿, 等. 基于ISO 26262的道路车辆功能安全开发流程解读[J]. 汽车电器, 2016(7): 57-59. |
| JI Hongyan, CUI Shuchao, SUN Can, et al. Interpretation of road vehicle functional safety development process based on ISO 26262[J]. Autom Appl, 2016(7): 57-59. (in Chinese) | |
| [7] | Mariani R. An overview of autonomous vehicles safety[C]// 2018 IEEE Int’l Reliab Phy Symp (IRPS), Burlingame, CA, United states, 2018:6A.1-1-6A.1-6. |
| [8] | ZHU Dongbin, WANG Xiyang, LI Yanwen, et al. Research on energy regenerative braking of electric vehicle based on functional safety analysis[C]// 2017 2nd Asia-Pacific Conf Intel Robot Syst (ACIRS), Wuhan, China, 2017: 326-330. |
| [9] | LEU Kuenlong, HUANG Hsiang, CHEN Yuanyuan, et al. An intelligent brake-by-wire system design and analysis in accordance with ISO-26262 functional safety standard[C]// 2015 Int’l Conf Connect Vehi Expo (ICCVE), Shenzhen, China, 2015:150-156. |
| [10] | ZHANG Jingming, ZAHNG Yunshuang, LI Guoxing. Functional safety design of four-wheel independent brake system on electric vehicle[J]. IOP Conf Seri: Earth Environ Sci, 2018, 170(4). |
| [11] | 李国兴. 基于功能安全的四轮独立制动系统研究[D]. 哈尔滨: 哈尔滨工业大学, 2017. |
| LI Guoxing. Research on four-wheel independent braking system based on functional safety[D]. Harbin University of Technology, Harbin, 2017. (in Chinese) | |
| [12] | Mullner N, Khan S, Rahman M H, et al. Simulation-based safety testing brake-by-wire[C]// 2017 IEEE Int’l Conf Software Testing, Verif Valid Workshops (ICSTW), Tokyo, Japan, 2017: 61-64. |
| [13] | CHEN Yungyuan, PENG Jingxiang. Development of safety process in model-based design platform for safety-critical systems[C]// 2013 IEEE 4th Int’l Conf Software Engi Serv Sci, Beijing, China, 2013: 627-630. |
| [14] | 荣芩, 吴晓东, 许敏. 基于ISO 标准的道路车辆线控转向系统的功能安全概念设计[J]. 汽车安全与节能学报, 2018, 9(3): 250-257. |
| RONG Qin, WU Xiaodong, XU Min. Functional safety concept design for steer-by-wire system of road vehicle based on the ISO[J]. J Autom Safe Energ, 2018, 9(3): 250-257. (in Chinese) | |
| [15] | BO Li, YUE Fu. Research on functional safety of electric steering system for passenger vehicle[C]// 2021 Int’l Conf Contr Sci Elect Power Syst (CSEPS), Shanghai, China, 2021: 303-306. |
| [16] | 雍加望, 李岩松, 冯能莲, 等. 基于ESHB系统的自适应自动紧急制动控制策略[J]. 汽车安全与节能学报, 2022, 13(2): 300-308. |
| YONG Jiawang, LI Yansong, FENG Nenglian, et al. Adaptive automatic emergency braking control strategy based on an ESHB system[J]. J Autom Safe Energ, 2022, 13(2): 300-308. (in Chinese) |
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