Potential benefit of regenerative braking on electric bicycles

Maier, Oliver; Krause, Marcel; Krauth, S.; Langer, N.; Pascher, P.; Wrede, Jürgen

doi:10.1109/aim.2016.7576969

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…Some articles addressed the fundamental aspects of an electric bike (see Figure 2), such as motor control (i.e., field-oriented [16,17], fuzzy logic [18][19][20], firefly algorithm [21], particle swarm optimization [22], model predictive [23], reinforcement learning [24], and others [25][26][27][28][29][30][31]) using different inputs, such as torque (human and machine), power and speed to control the bike's motor. Studies on battery management system (BMS) and energy recovery [18,23,[31][32][33][34], explored methods of supervising and charging the batteries used by the bikes (State of Health and State of Charges) and also explored the possibility of recovering energy by braking and in downhill situations. These systems need to work alongside the motor controllers to extend the battery at disposal and extend the rides.…”

Section: Inclusion Criteriamentioning

confidence: 99%

Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review

Avina-Bravo

Cassirame

Escriba

et al. 2022

Sensors

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This paper aims to provide a review of the electrically assisted bicycles (also known as e-bikes) used for recovery of the rider’s physical and physiological information, monitoring of their health state, and adjusting the “medical” assistance accordingly. E-bikes have proven to be an excellent way to do physical activity while commuting, thus improving the user’s health and reducing air pollutant emissions. Such devices can also be seen as the first step to help unhealthy sedentary people to start exercising with reduced strain. Based on this analysis, the need to have e-bikes with artificial intelligence (AI) systems that recover and processe a large amount of data is discussed in depth. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used to complete the relevant papers’ search and selection in this systematic review.

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Section: Inclusion Criteriamentioning

confidence: 99%

Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review

Avina-Bravo

Cassirame

Escriba

et al. 2022

Sensors

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“…Data engine energy berdasarkan profil dari power yang dihasilkan motor dan efisiensi Battery Pack Power tanpa adanya beban yang diberikan. Sehingga diperoleh nilai Energy optimal tanpa Driving Resistance (Maier et al, 2016). Data ini akan dijadikan acuan besaran nilai energy yang tereduksi.…”

Section: Metodeunclassified

Analisa Pengaruh Beban Terhadap Efisiensi Konsumsi Lithium batteries pada Sepeda Elektrik

Mashudi

2022

Bri

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Sepeda elektrik sebagai bentuk baru transportasi pribadi telah mengarah pada tren mode transportasi umum baru, khususnya di perkotaan, sangat tepat digunakan untuk negara-negara dengan populasi besar dan untuk negara-negara yang peduli lingkungan. Tujuan dari penelitian ini adalah melakukan rancang bangun sepeda elektrik dan menganalisa pengaruh pemberian berat beban yang berbeda terhadap efisiensi Lithium-Battery pada sepeda elektrik. Data yang telah terkumpul dari pengujian pengaruh berat beban pada sepeda elektrik terhadap efisiensi Lithium Batteries ditabulasi dengan menggunakan excel dan dilakukan analisa dengan standart deviasi dan error. Bahan yang digunakan adalah Sepeda, Motor DC, Controller, Lithium-batteries. Lalu dilakukan proses rancang bangun. Lalu dilakukan cek fungsi pada mekanik sepeda dan system elektrik. Proses pengujian dengan pembebanan (50, 70. 90, 110) kg sejauh 2 km. collecting data dilakukan secara numeric dengan menggunakan sensor kecepatan yang diproses pada controller dan diaktuasi pada motor hub. Untuk mendapatkan data kapasitas baterai yang terpakai digunakan power controller yang terdapat pada modul controller. Kesimpulan dari penelitian ini adalah telah dilakukan rancang bangun sepeda elektrik dan menganalisa pengaruh pemberian berat beban yang berbeda terhadap efisiensi Lithium-Battery pada sepeda elektrik. Terbukti bahwa semakin besar berat pengendara akan menurunkan nilai efisiensi baterai secara linier.

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“…Regenerative braking is another significant field related to e-bikes. The system attempts to recover the maximum amount of energy when braking [30][31][32]. Furthermore, pollution monitoring uses particle and exhaust gas sensors to measure the pollution on the road, and thus with enough users, an approximation can be made for a neighborhood or a whole city [33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Design and Validity of a Smart Healthcare and Control System for Electric Bikes

Avina-Bravo

Sousa

Escriba

et al. 2023

Sensors

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This paper presents the development of an electronic system that converts an electrically assisted bicycle into an intelligent health monitoring system, allowing people who are not athletic or who have a history of health issues to progressively start the physical activity by following a medical protocol (e.g., max heart rate and power output, training time). The developed system aims to monitor the health state of the rider, analyze data in real-time, and provide electric assistance, thus diminishing muscular exertion. Furthermore, such a system can recover the same physiological data used in medical centers and program it into the e-bike to track the patient’s health. System validation is conducted by replicating a standard medical protocol used in physiotherapy centers and hospitals, typically conducted in indoor conditions. However, the presented work differentiates itself by implementing this protocol in outdoor environments, which is impossible with the equipment used in medical centers. The experimental results show that the developed electronic prototypes and the algorithm effectively monitored the subject’s physiological condition. Moreover, when necessary, the system can change the training load and help the subject remain in their prescribed cardiac zone. This system allows whoever needs to follow a rehabilitation program to do so not only in their physician’s office, but whenever they want, including while commuting.

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Potential benefit of regenerative braking on electric bicycles

Cited by 7 publications

References 7 publications

Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review

Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review

Analisa Pengaruh Beban Terhadap Efisiensi Konsumsi Lithium batteries pada Sepeda Elektrik

Design and Validity of a Smart Healthcare and Control System for Electric Bikes

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