The Evolution of Braking Systems in Formula 1: From Drum Brakes to Cutting-Edge Carbon and Regenerative Braking
The development of braking systems in Formula 1 has been a crucial aspect of the sport's technological progress, enabling faster and safer cars through innovations like disc brakes, carbon brakes, and regenerative braking.
ハイundaiがテスラのパイクスピーク記録を破ったことの重要性
ハイundaiのIoniq 5 Nがテスラの最速記録を24秒も上回り、世界で最も過酷なコースであるパイクスピークを制覇した。
자동차 CAN 버스 조향 신호를 역공학하기 위한 관성 측정 및 GPS 데이터 활용의 효과 분석
관성 측정 장치(IMU)와 GPS 데이터를 활용하여 사전 지식 없이도 자동차 CAN 버스의 조향 휠 위치 관련 메시지를 역공학할 수 있는 방법을 제시한다.
CARLOS: An Open, Modular, and Scalable Simulation Framework for Developing and Testing Cooperative Intelligent Transport Systems (C-ITS) Software
The authors propose CARLOS, an open, modular, and scalable simulation framework that leverages the CARLA and ROS ecosystems to enable efficient development and testing of software for cooperative intelligent transport systems (C-ITS).
Factors Impacting Tire Force Control in 4WID-4WIS EVs
Advanced tire force control strategies for 4WID-4WIS electric vehicles are influenced by vertical load estimation, actuator dynamics, tire force constraints, and wheel steering precision.
Constrained Optimal Fuel Consumption of Hybrid Electric Vehicles: A Comparative Study of CRL Approaches
The author explores the effectiveness of Constrained Reinforcement Learning (CRL) approaches in optimizing fuel consumption for hybrid electric vehicles, highlighting the importance of maintaining SOC balance while achieving optimal results.
Online Ecological Gearshift Strategy with Neural Network and Soft-Argmax Operator
The author presents a neural network optimizer with soft-argmax operator to achieve an ecological gearshift strategy in real-time, reformulating the mixed-integer model predictive control problem. The approach integrates neural networks to approximate binary controls efficiently.
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