2020 IEEE 6th International Conference on Computer and Communications (ICCC) 2020
DOI: 10.1109/iccc51575.2020.9344906
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Analysis on Charging Safety and Optimization of Electric Vehicles

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Cited by 26 publications
(6 citation statements)
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“…In the paper [67], the causes of events related to the functioning of the EV charging system (such as battery explosion/ignition, overcharging, short circuits, and leaks) at the charging point are analyzed. A similar problem is dealt with in [68][69][70].…”
Section: Review Of Ev Safety Issuesmentioning
confidence: 99%
“…In the paper [67], the causes of events related to the functioning of the EV charging system (such as battery explosion/ignition, overcharging, short circuits, and leaks) at the charging point are analyzed. A similar problem is dealt with in [68][69][70].…”
Section: Review Of Ev Safety Issuesmentioning
confidence: 99%
“…The prestage rectifier corrects the power factor, and the post-stage DC/DC converter controls the charging power and voltage isolation. Therefore, the working efficiency of the post-stage DC/DC converter determines the overall performance of the DC/DC charger [31], [32], [33], [34], [35]. The DC/DC converter controlled by the traditional pulse width modulation method belongs to the hard switching type, that is, the voltage and current at both ends of the switch tube are not zero during the conduction and shutdown, and there is a cross between the two [36], [37], [38], [39].…”
Section: Design and Loss Analysis Of Fast Charging Optimization Circu...mentioning
confidence: 99%
“…This means that a highly automated driving (L4) feature in which DAS is expected to operate independently in complex driving scenarios will require more capable and reliable hardware (sensors, processor, memory), V2X connectivity, faster as well as broader communication bandwidth, and a significant increase in lines of code and data storage as compared to conditional automation (L3) where the human driver can act as a complementary driver in complex driving condition. A typical safety-critical system like AV should also be capable of responding to failures in Domain-centric [39] Domain-centric [39] Domain-centric [39] Centralized [39] Centralized [39] DDT sensors (#) Radar (1) [40], [41], [42] RADAR (1-3) SONAR (1-12) Camera (1-2) IMU (1) [40], [41], [42], [43] RADAR (3-5) SONAR (up to 17) Camera (2-6) IMU (1) GNSS/GPS (1) [40], [41], [42], [43] RADAR (8) SONAR (up to 12) Camera (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) Lidar (1-5) IMU (>1) GNSS/GPS (>1) [40], [41], [42], [43], [44] RADAR (8) SONAR (up to 12) Camera (6)(7)(8)(9)(10)…”
Section: A Distinguishing Aspects Of Sae Automation Levelsmentioning
confidence: 99%
“…Moreover, the realistic target for L4 CAV will most likely be on EVs, considering the global acceptance of carbon neutrality and accelerated pace of EV design and manufacturing amongst the OEMs. Hence, bi-directional interactions between the utility distribution grids, EVs, and charging infrastructure, e.g., EV chargers (EVCs)and EV charging stations (EVCSs), are critical areas to analyze [9]. It also includes crucial data exchange between the cooperative intelligent transport system (C-ITS) center and infrastructure behaviors that highly impact the performance of a CAV [10].…”
Section: Introductionmentioning
confidence: 99%