Past & Future Development of AEV Technology

Past & Future Development of AEV Technology

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Autonomous electric vehicles (AEVs) hold great promise for the future of automotive engineering, but safety remains a significant challenge in their development and commercialization. Therefore, conducting a comprehensive analysis of AEV development and reported accidents is crucial. This paper reviews the levels of automation in AEVs, their diseng...

Context in source publication

Context 1
... is crucial to note that a lack of awareness regarding road conditions, the location and movements of other vehicles, traffic signs, and potential hazards can lead to safety challenges. Figure 2 illustrates the evolution of sensor technologies used in automotive systems over time [5]. This statistic stems from the previously stated sources. ...

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Citations

... However, the modeling should account for distinct usage patterns, such as frequent acceleration and deceleration, which may impact battery performance and aging [11]. Additionally, the modeling should address dynamic loads imposed by the computational systems used for autonomous driving, as these systems require substantial power and can influence battery behavior [12]. ...
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p>This article introduces a new Electrochemical-Polarization System (EPS) Model to improve lithium-ion battery models for autonomous electric vehicles (AEVs). The model incorporates an additional RC network to capture the relaxation effect in these batteries. The Nernst model is used to express the open-circuit voltage as a function of State of Charge (SoC), eliminating the need for time-consuming tests. Model parameters are estimated using the least squares method with data from a hybrid power pulse characteristic test. Experimental results validate the accurate simulation of battery behavior over time. Implementing this model and parameter determination approach eliminates the need for laborious tests traditionally used for parameter calibration.</p