Less Effort and More Fun Through Technical Support tive Technology (Professor Lienkamp) we have successfully implemented a control circuit that uses the heart rate to rider’s manipulate the electric power support of this new type of lightweight vehicle, called ‘QuadRad’. their inaccurate prediction of Prototype a new cate- ‘QuadRad’, gory of electric driven lightweight the residual range. For better prediction vehicle, on the test bench it is essential to gain detailed knowledge of the the type of electric cyclists’ fitness, Electric bicycles are becoming bicycle and the environmental resistances. more important as a mean of In collaboration with TUM institute Automo- transportation. One of the biggest Four-wheel electric bicycle with heart rate ‘QuadRad’ controlled support issues regarding electric bicycles is Multi-body simulation software SIM- Research Focus n PACK® Improved performance of sport equip- n Mobile EMG and spirometry ment n Safety & protection gear to avoid Video-based motion analysis n n overloads Leg surrogate with loading device n Thermo-physiology in sport garment n Instrumented bicycle n design 5-axis fatigue testing device for bicycle n Footwear sport surface interaction – n frames Electric & muscle-powered lightweight n vehicles Competence Muscular-skeletal models & simulation n 3D-motion analysis (optical, inertia, n DGPS) Electromyography (EMG) & spirometry n Measurement of external loads & n plantar pressure Development of physical models (foot & n ankle, knee, lower leg) Infrastructure Mobile skin- and core-temperature measurement n
Less Effort and More Fun Through Technical Support tive Technology (Professor Lienkamp) we have successfully implemented a control circuit that uses the rider’s heart rate to manipulate the electric power support of this new type of lightweight vehicle, called ‘QuadRad’. Prototype ‘QuadRad’, a new cate- gory of electric driven lightweight vehicle, on the test bench Electric bicycles are becoming more important as a mean of transportation. One of the biggest issues regarding electric bicycles is their inaccurate prediction of the residual range. For better prediction it is essential to gain detailed knowledge of the cyclists’ fitness, the type of electric bicycle and the environmental resistances. In collaboration with TUM institute Automo- Four-wheel electric bicycle ‘QuadRad’ with heart rate controlled support Research Focus n Improved performance of sport equip- ment n Safety & protection gear to avoid overloads n Thermo-physiology in sport garment design n Footwear – sport surface interaction n Electric & muscle-powered lightweight vehicles Competence n Muscular-skeletal models & simulation n 3D-motion analysis (optical, inertia, DGPS) n Electromyography (EMG) & spirometry n Measurement of external loads & plantar pressure n Development of physical models (foot & ankle, knee, lower leg) Infrastructure n Mobile skin- and core-temperature measurement n Multi-body simulation software SIM- PACK® n Mobile EMG and spirometry n Video-based motion analysis n Leg surrogate with loading device n Instrumented bicycle n 5-axis fatigue testing device for bicycle frames