2015
DOI: 10.1080/00423114.2015.1064971
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Estimation of the vehicle's centre of gravity based on a braking model

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Cited by 10 publications
(3 citation statements)
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“…In some cases, these simulators have allowed to simulate the dynamics of a vehicle also in terms of response to an external disturbance: therefore, they have been used to investigate the robustness and fine-tune the characteristics of the software controllers that could be installed on such vehicles [32][33][34]. • Practical-experimental [22,40,41]: Using a dedicated test-facility, by following, developing or refining the test methods/procedures described by the legislation in force, e.g., ISO 789-6 [42], ISO 16231-2 [43], SAE J2141 [44], and SAE J2926 [45]. Other than obtaining a characterization of because the test configuration relates to a single steering angle.…”
Section: Approaches To the Problem Actual Tests Of Stability And Thmentioning
confidence: 99%
“…In some cases, these simulators have allowed to simulate the dynamics of a vehicle also in terms of response to an external disturbance: therefore, they have been used to investigate the robustness and fine-tune the characteristics of the software controllers that could be installed on such vehicles [32][33][34]. • Practical-experimental [22,40,41]: Using a dedicated test-facility, by following, developing or refining the test methods/procedures described by the legislation in force, e.g., ISO 789-6 [42], ISO 16231-2 [43], SAE J2141 [44], and SAE J2926 [45]. Other than obtaining a characterization of because the test configuration relates to a single steering angle.…”
Section: Approaches To the Problem Actual Tests Of Stability And Thmentioning
confidence: 99%
“…To obtain the desired vehicle parameter from the IMU, the PX4 has to be placed on the Centre of Gravity (CoG) of the vehicle. The CoG location by the common LD (lifting detection) method [31]. The vehicle is placed on the weighing scale to measure the initial front and rear axle load.…”
Section: Sensor Setupmentioning
confidence: 99%
“…To avoid lateral/yaw/roll excitations, Huang and Wang [11] estimated the real-time CG position for lightweight vehicles based on a combined adaptive Kalman filter-extended Kalman filter approach. Yue et al [12] presented a braking-detection method using a dynamic braking model to estimate the vehicle's CG height. Chen et al [13] used a parameter estimator that included Kalman filtering and the recursive least-squares method with a variable forgetting factor to estimate the CG position of a four-wheeled independently driven electronic vehicle.…”
Section: Introductionmentioning
confidence: 99%